Prateek Mittal

310 papers A* 94A 12B 4C 1Misc 4Journal 172Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning. AAAI Pengyuan Wei, Giorgos Christopoulos, Zhouyang Shen, Jincheng Wang, Joshua Mukherjee, Ryuji Hirayama, Sriram Subramanian, Prateek Mittal
2026	J	`jnl`	QUICstep: Evaluating connection migration based QUIC censorship circumvention. Proc. Priv. Enhancing Technol. Seungju Lee, Mona Wang, Watson Jia, Qiang Wu, Henry Birge-Lee, Liang Wang, Prateek Mittal
2025	A	`conf`	A Framework to Evaluate MPIC Security using Real-World BGP Announcements. IMC Henry Birge-Lee, Ari Brown, Christine Guo, Cyrill Krähenbühl, Sohom Pal, Liang Wang, Prateek Mittal
2025	J	`jnl`	AI Agents in Cryptoland: Practical Attacks and No Silver Bullet. CoRR Atharv Singh Patlan, Peiyao Sheng, S. Ashwin Hebbar, Prateek Mittal, Pramod Viswanath
2025	J	`jnl`	AI Agents in Cryptoland: Practical Attacks and No Silver Bullet. IACR Cryptol. ePrint Arch. Atharv Singh Patlan, Peiyao Sheng, S. Ashwin Hebbar, Prateek Mittal, Pramod Viswanath
2025	A*	`conf`	Adapting to Evolving Adversaries with Regularized Continual Robust Training. ICML Sihui Dai, Christian Cianfarani, Vikash Sehwag, Prateek Mittal, Arjun Nitin Bhagoji
2025	J	`jnl`	Adapting to Evolving Adversaries with Regularized Continual Robust Training. CoRR Sihui Dai, Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
2025	J	`jnl`	Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks. CoRR Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia
2025	J	`jnl`	Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice. CoRR Jiachen T. Wang, Tong Wu, Kaifeng Lyu, James Zou, Dawn Song, Ruoxi Jia, Prateek Mittal
2025	A*	`conf`	Capturing the Temporal Dependence of Training Data Influence. ICLR Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia
2025	J	`jnl`	Context manipulation attacks : Web agents are susceptible to corrupted memory. CoRR Atharv Singh Patlan, S. Ashwin Hebbar, Pramod Viswanath, Prateek Mittal
2025	A*	`conf`	Data Shapley in One Training Run. ICLR Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia
2025	J	`jnl`	Differentially Private Image Classification by Learning Priors from Random Processes. J. Priv. Confidentiality Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
2025	J	`jnl`	Does More Inference-Time Compute Really Help Robustness? CoRR Tong Wu, Chong Xiang, Jiachen T. Wang, Weichen Yu, Chawin Sitawarin, Vikash Sehwag, Prateek Mittal
2025	J	`jnl`	Effectively Controlling Reasoning Models through Thinking Intervention. CoRR Tong Wu, Chong Xiang, Jiachen T. Wang, Prateek Mittal
2025	A*	`conf`	Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. ICLR Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou
2025	J	`jnl`	MURMUR: Using cross-user chatter to break collaborative language agents in groups. CoRR Atharv Singh Patlan, Peiyao Sheng, S. Ashwin Hebbar, Prateek Mittal, Pramod Viswanath
2025	A*	`conf`	On Evaluating the Durability of Safeguards for Open-Weight LLMs. ICLR Xiangyu Qi, Boyi Wei, Nicholas Carlini, Yangsibo Huang, Tinghao Xie, Luxi He, Matthew Jagielski, Milad Nasr, Prateek Mittal, Peter Henderson
2025	A*	`conf`	PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches. CVPR Dennis Jacob, Chong Xiang, Prateek Mittal
2025	J	`jnl`	PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches. CoRR Dennis Jacob, Chong Xiang, Prateek Mittal
2025	A*	`conf`	Privacy Auditing of Large Language Models. ICLR Ashwinee Panda, Xinyu Tang, Christopher A. Choquette-Choo, Milad Nasr, Prateek Mittal
2025	J	`jnl`	Privacy Auditing of Large Language Models. CoRR Ashwinee Panda, Xinyu Tang, Milad Nasr, Christopher A. Choquette-Choo, Prateek Mittal
2025	J	`jnl`	Private Fine-tuning of Large Language Models with Zeroth-order Optimization. Trans. Mach. Learn. Res. Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal
2025	J	`jnl`	ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search. CoRR Zeyu Shen, Basileal Imana, Tong Wu, Chong Xiang, Prateek Mittal, Aleksandra Korolova
2025	A*	`conf`	SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. ICLR Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal
2025	A*	`conf`	Safety Alignment Should be Made More Than Just a Few Tokens Deep. ICLR Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
2025	A*	`conf`	Scaling SCIERA: A Journey Through the Deployment of a Next-generation Network. SIGCOMM François Wirz, Marten Gartner, Jelte van Bommel, Elham Ehsani Moghadam, Grace H. Cimaszewski, Anxiao He, Yizhe Zhang, Henry Birge-Lee, Felix Kottmann, Cyrill Krähenbühl, Jonghoon Kwon, Kyveli Mavromati, Liang Wang, Daniel Bertolo, Marco Canini, Buseung Cho, Ronaldo A. Ferreira, Simon Peter Green, David Hausheer, Junbeom Hur, Xiaohua Jia, Heejo Lee, Prateek Mittal, Omo Oaiya, Chanjin Park, Adrian Perrig, Jerry Sobieski, Yixin Sun, Cong Wang, Klaas Wierenga
2025	J	`jnl`	The Deployment of End-to-End Audio Language Models Should Take into Account the Principle of Least Privilege. CoRR Luxi He, Xiangyu Qi, Michel Liao, Inyoung Cheong, Prateek Mittal, Danqi Chen, Peter Henderson
2025	J	`jnl`	What WeChat Knows: Pervasive First-Party Tracking in a Billion-User Super-App Ecosystem. Proc. Priv. Enhancing Technol. Mona Wang, Pellaeon Lin, Jeffrey Knockel, Will Greenberg, Jonathan Mayer, Prateek Mittal
2025	A*	`conf`	WireWatch: Measuring the Security of Proprietary Network Encryption in the Global Android Ecosystem. SP Mona Wang, Jeffrey Knockel, Zoë Reichert, Prateek Mittal, Jonathan R. Mayer
2024	A*	`conf`	A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization. ICML Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal
2024	J	`jnl`	AI Risk Management Should Incorporate Both Safety and Security. CoRR Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
2024	J	`jnl`	Adaptive and Stratified Subsampling Techniques for High Dimensional Non-Standard Data Environments. CoRR Prateek Mittal, Jai Dalmotra, Joohi Chauhan
2024	A*	`conf`	Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. ICML Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
2024	J	`jnl`	Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. CoRR Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
2024	A*	`conf`	BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. ICLR Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
2024	A*	`conf`	BrainLM: A foundation model for brain activity recordings. ICLR Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James L. Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk
2024	J	`jnl`	Capturing the Temporal Dependence of Training Data Influence. CoRR Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia
2024	J	`jnl`	Certifiably Robust RAG against Retrieval Corruption. CoRR Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal
2024	J	`jnl`	Data Shapley in One Training Run. CoRR Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia
2024	A	`conf`	Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. AISTATS Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
2024	J	`jnl`	Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. CoRR Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
2024	A*	`conf`	Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! ICLR Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
2024	A*	`conf`	GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration. NeurIPS Jiachen T. Wang, Tong Wu, Dawn Song, Prateek Mittal, Ruoxi Jia
2024	J	`jnl`	Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. CoRR Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou
2024	J	`jnl`	Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal
2024	J	`jnl`	Neural Network Design for Impedance Modeling of Power Electronic Systems Based on Latent Features. IEEE Trans. Neural Networks Learn. Syst. Yicheng Liao, Yufei Li, Minjie Chen, Lars Nordström, Xiongfei Wang, Prateek Mittal, H. Vincent Poor
2024	J	`jnl`	On Evaluating the Durability of Safeguards for Open-Weight LLMs. CoRR Xiangyu Qi, Boyi Wei, Nicholas Carlini, Yangsibo Huang, Tinghao Xie, Luxi He, Matthew Jagielski, Milad Nasr, Prateek Mittal, Peter Henderson
2024	A*	`conf`	PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses. USENIX Security Symposium Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
2024	J	`jnl`	Position Paper: Beyond Robustness Against Single Attack Types. CoRR Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal
2024	A*	`conf`	Privacy-Preserving In-Context Learning for Large Language Models. ICLR Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal
2024	J	`jnl`	Private Fine-tuning of Large Language Models with Zeroth-order Optimization. CoRR Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal
2024	J	`jnl`	Resilience of the Electric Grid through Trustable IoT-Coordinated Assets. CoRR Vineet Jagadeesan Nair, Venkatesh Venkataramanan, Priyank Srivastava, Partha S. Sarker, Anurag Srivastava, Laurentiu D. Marinovici, Jun Zha, Christopher Irwin, Prateek Mittal, John Williams, H. Vincent Poor, Anuradha M. Annaswamy
2024	J	`jnl`	SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. CoRR Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal
2024	J	`jnl`	Safety Alignment Should Be Made More Than Just a Few Tokens Deep. CoRR Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
2024	A*	`conf`	StableLev: Data-Driven Stability Enhancement for Multi-Particle Acoustic Levitation. CHI Lei Gao, Giorgos Christopoulos, Prateek Mittal, Ryuji Hirayama, Sriram Subramanian
2024	A*	`conf`	Teach LLMs to Phish: Stealing Private Information from Language Models. ICLR Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
2024	J	`jnl`	Teach LLMs to Phish: Stealing Private Information from Language Models. CoRR Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
2024	A	`conf`	VFIX: Facilitating Software Maintenance of Smart Contracts via Automatically Fixing Vulnerabilities. ICSME Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao
2024	A*	`conf`	Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal
2023	—	`conf`	A Light Recipe to Train Robust Vision Transformers. SaTML Edoardo Debenedetti, Vikash Sehwag, Prateek Mittal
2023	A*	`conf`	A Privacy-Friendly Approach to Data Valuation. NeurIPS Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
2023	J	`jnl`	A Randomized Approach for Tight Privacy Accounting. CoRR Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
2023	A*	`conf`	A Randomized Approach to Tight Privacy Accounting. NeurIPS Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
2023	A*	`conf`	Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. KDD Jacob Alexander Markson Brown, Xi Jiang, Van Hong Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran
2023	J	`jnl`	Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. CoRR Jacob Alexander Markson Brown, Xi Jiang, Van Hong Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran
2023	J	`jnl`	BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. CoRR Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
2023	J	`jnl`	Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning. Expert Syst. Appl. NagaSree Keerthi Pujari, Srinivas Soumitri Miriyala, Prateek Mittal, Kishalay Mitra
2023	J	`jnl`	CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. CoRR Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao
2023	A*	`conf`	Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. NeurIPS Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal
2023	J	`jnl`	Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. CoRR Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal
2023	A*	`conf`	Differentially Private Image Classification by Learning Priors from Random Processes. NeurIPS Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
2023	J	`jnl`	Differentially Private Image Classification by Learning Priors from Random Processes. CoRR Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
2023	J	`jnl`	Differentially Private In-Context Learning. CoRR Ashwinee Panda, Tong Wu, Jiachen T. Wang, Prateek Mittal
2023	A*	`conf`	Effectively Using Public Data in Privacy Preserving Machine Learning. ICML Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr
2023	J	`jnl`	Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! CoRR Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
2023	A*	`conf`	How Effective is Multiple-Vantage-Point Domain Control Validation? USENIX Security Symposium Grace H. Cimaszewski, Henry Birge-Lee, Liang Wang, Jennifer Rexford, Prateek Mittal
2023	J	`jnl`	How Effective is Multiple-Vantage-Point Domain Control Validation? CoRR Grace H. Cimaszewski, Henry Birge-Lee, Liang Wang, Jennifer Rexford, Prateek Mittal
2023	A*	`conf`	MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
2023	J	`jnl`	MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
2023	A*	`conf`	ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. SP Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
2023	J	`jnl`	PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses. CoRR Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
2023	J	`jnl`	QUICstep: Circumventing QUIC-based Censorship. CoRR Watson Jia, Mona Wang, Liang Wang, Prateek Mittal
2023	J	`jnl`	RAVEN: Stateless Rapid IP Address Variation for Enterprise Networks. Proc. Priv. Enhancing Technol. Liang Wang, Hyojoon Kim, Prateek Mittal, Jennifer Rexford
2023	A*	`conf`	Revisiting the Assumption of Latent Separability for Backdoor Defenses. ICLR Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal
2023	—	`conf`	Short: Certifiably Robust Perception Against Adversarial Patch Attacks: A Survey. VehicleSec Chong Xiang, Chawin Sitawarin, Tong Wu, Prateek Mittal
2023	J	`jnl`	Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. CoRR Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
2023	A*	`conf`	Towards A Proactive ML Approach for Detecting Backdoor Poison Samples. USENIX Security Symposium Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal
2023	A*	`conf`	Uncovering Adversarial Risks of Test-Time Adaptation. ICML Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
2023	J	`jnl`	Uncovering Adversarial Risks of Test-Time Adaptation. CoRR Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
2023	J	`jnl`	Visual Adversarial Examples Jailbreak Large Language Models. CoRR Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal
2022	J	`jnl`	A Light Recipe to Train Robust Vision Transformers. CoRR Edoardo Debenedetti, Vikash Sehwag, Prateek Mittal
2022	J	`jnl`	Athena: Probabilistic Verification of Machine Unlearning. Proc. Priv. Enhancing Technol. David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal
2022	J	`jnl`	Circumventing Backdoor Defenses That Are Based on Latent Separability. CoRR Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal
2022	A*	`conf`	Creating a Secure Underlay for the Internet. USENIX Security Symposium Henry Birge-Lee, Joel Wanner, Grace H. Cimaszewski, Jonghoon Kwon, Liang Wang, François Wirz, Prateek Mittal, Adrian Perrig, Yixin Sun
2022	J	`jnl`	Creating a Secure Underlay for the Internet. CoRR Henry Birge-Lee, Joel Wanner, Grace H. Cimaszewski, Jonghoon Kwon, Liang Wang, François Wirz, Prateek Mittal, Adrian Perrig, Yixin Sun
2022	J	`jnl`	DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning. CoRR Ashwinee Panda, Xinyu Tang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
2022	J	`jnl`	Data-plane security applications in adversarial settings. Comput. Commun. Rev. Liang Wang, Prateek Mittal, Jennifer Rexford
2022	A*	`conf`	F-PKI: Enabling Innovation and Trust Flexibility in the HTTPS Public-Key Infrastructure. NDSS Laurent Chuat, Cyrill Krähenbühl, Prateek Mittal, Adrian Perrig
2022	J	`jnl`	Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations. CoRR Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal
2022	A*	`conf`	Formulating Robustness Against Unforeseen Attacks. NeurIPS Sihui Dai, Saeed Mahloujifar, Prateek Mittal
2022	J	`jnl`	Formulating Robustness Against Unforeseen Attacks. CoRR Sihui Dai, Saeed Mahloujifar, Prateek Mittal
2022	—	`conf`	Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. AISec@CCS Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
2022	J	`jnl`	Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. CoRR Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
2022	J	`jnl`	Leveraging strategic connection migration-powered traffic splitting for privacy. CoRR Mona Wang, Anunay Kulshrestha, Liang Wang, Prateek Mittal
2022	J	`jnl`	Leveraging strategic connection migration-powered traffic splitting for privacy. Proc. Priv. Enhancing Technol. Mona Wang, Anunay Kulshrestha, Liang Wang, Prateek Mittal
2022	J	`jnl`	Machine Learning with Differentially Private Labels: Mechanisms and Frameworks. Proc. Priv. Enhancing Technol. Xinyu Tang, Milad Nasr, Saeed Mahloujifar, Virat Shejwalkar, Liwei Song, Amir Houmansadr, Prateek Mittal
2022	A*	`conf`	Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. USENIX Security Symposium Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal
2022	A*	`conf`	Neurotoxin: Durable Backdoors in Federated Learning. ICML Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez
2022	J	`jnl`	Neurotoxin: Durable Backdoors in Federated Learning. CoRR Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal
2022	J	`jnl`	ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. CoRR Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
2022	—	`conf`	Parameterizing Activation Functions for Adversarial Robustness. SP (Workshops) Sihui Dai, Saeed Mahloujifar, Prateek Mittal
2022	A*	`conf`	PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. USENIX Security Symposium Chong Xiang, Saeed Mahloujifar, Prateek Mittal
2022	A*	`conf`	Poster: Investigating QUIC's Potential Impact on Censorship Circumvention. CCS Anna Harbluk Lorimer, Nick Feamster, Prateek Mittal
2022	A*	`conf`	QCSD: A QUIC Client-Side Website-Fingerprinting Defence Framework. USENIX Security Symposium Jean-Pierre Smith, Luca Dolfi, Prateek Mittal, Adrian Perrig
2022	A	`conf`	RAPID: Real-Time Alert Investigation with Context-aware Prioritization for Efficient Threat Discovery. ACSAC Yushan Liu, Xiaokui Shu, Yixin Sun, Jiyong Jang, Prateek Mittal
2022	A*	`conf`	Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. NeurIPS Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
2022	J	`jnl`	Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. CoRR Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
2022	J	`jnl`	Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp. CoRR Ryan Amos, Roland Maio, Prateek Mittal
2022	A*	`conf`	Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
2022	A	`conf`	SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. AISTATS Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal
2022	J	`jnl`	Towards Reproducible Network Traffic Analysis. CoRR Jordan Holland, Paul Schmitt, Prateek Mittal, Nick Feamster
2022	A*	`conf`	Understanding Robust Learning through the Lens of Representation Similarities. NeurIPS Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Ben Y. Zhao, Heather Zheng, Prateek Mittal
2022	J	`jnl`	Understanding Robust Learning through the Lens of Representation Similarities. CoRR Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Ben Y. Zhao, Prateek Mittal
2021	A*	`conf`	A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2021	J	`jnl`	A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2021	J	`jnl`	DP-cryptography: marrying differential privacy and cryptography in emerging applications. Commun. ACM Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal
2021	J	`jnl`	Data-Plane Security Applications in Adversarial Settings. CoRR Liang Wang, Prateek Mittal, Jennifer Rexford
2021	A*	`conf`	DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CCS Chong Xiang, Prateek Mittal
2021	J	`jnl`	DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CoRR Chong Xiang, Prateek Mittal
2021	A*	`conf`	Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. ICDE Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2021	A*	`conf`	Experiences Deploying Multi-Vantage-Point Domain Validation at Let's Encrypt. USENIX Security Symposium Henry Birge-Lee, Liang Wang, Daniel McCarney, Roland Shoemaker, Jennifer Rexford, Prateek Mittal
2021	J	`jnl`	F-PKI: Enabling Innovation and Trust Flexibility in the HTTPS Public-Key Infrastructure. CoRR Laurent Chuat, Cyrill Krähenbühl, Prateek Mittal, Adrian Perrig
2021	J	`jnl`	Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. Proc. Priv. Enhancing Technol. Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin
2021	J	`jnl`	Improving Adversarial Robustness Using Proxy Distributions. CoRR Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
2021	A*	`conf`	Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. ICML Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal
2021	J	`jnl`	Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. CoRR Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal
2021	J	`jnl`	Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. CoRR Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal
2021	A*	`conf`	New Directions in Automated Traffic Analysis. CCS Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal
2021	J	`jnl`	Parameterizing Activation Functions for Adversarial Robustness. CoRR Sihui Dai, Saeed Mahloujifar, Prateek Mittal
2021	J	`jnl`	PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. CoRR Chong Xiang, Saeed Mahloujifar, Prateek Mittal
2021	J	`jnl`	PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches. CoRR Chong Xiang, Prateek Mittal
2021	A*	`conf`	PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking. USENIX Security Symposium Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
2021	—	`conf`	RobustBench: a standardized adversarial robustness benchmark. NeurIPS Datasets and Benchmarks Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein
2021	A*	`conf`	SSD: A Unified Framework for Self-Supervised Outlier Detection. ICLR Vikash Sehwag, Mung Chiang, Prateek Mittal
2021	J	`jnl`	SSD: A Unified Framework for Self-Supervised Outlier Detection. CoRR Vikash Sehwag, Mung Chiang, Prateek Mittal
2021	J	`jnl`	Securing internet applications from routing attacks. Commun. ACM Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal
2021	J	`jnl`	SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. CoRR Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal
2021	A*	`conf`	Systematic Evaluation of Privacy Risks of Machine Learning Models. USENIX Security Symposium Liwei Song, Prateek Mittal
2021	J	`jnl`	Website Fingerprinting Through the Cache Occupancy Channel and its Real World Practicality. IEEE Trans. Dependable Secur. Comput. Anatoly Shusterman, Zohar Avraham, Eliezer Croitoru, Yarden Haskal, Lachlan Kang, Dvir Levi, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom
2021	J	`jnl`	Website Fingerprinting in the Age of QUIC. Proc. Priv. Enhancing Technol. Jean-Pierre Smith, Prateek Mittal, Adrian Perrig
2020	J	`jnl`	A Critical Evaluation of Open-World Machine Learning. CoRR Liwei Song, Vikash Sehwag, Arjun Nitin Bhagoji, Prateek Mittal
2020	A*	`conf`	CLAPS: Client-Location-Aware Path Selection in Tor. CCS Florentin Rochet, Ryan Wails, Aaron Johnson, Prateek Mittal, Olivier Pereira
2020	J	`jnl`	DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications. CoRR Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal
2020	A	`conf`	Detecting Malware Injection with Program-DNS Behavior. EuroS&P Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pärn, Zhenyu Wu, Junghwan Rhee, Chung Hwan Kim, Mung Chiang, Prateek Mittal
2020	J	`jnl`	Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. CoRR Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2020	J	`jnl`	Evaluating Snowflake as an Indistinguishable Censorship Circumvention Tool. CoRR Kyle MacMillan, Jordan Holland, Prateek Mittal
2020	J	`jnl`	FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning. CoRR Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin
2020	A*	`conf`	HYDRA: Pruning Adversarially Robust Neural Networks. NeurIPS Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana
2020	J	`jnl`	On Pruning Adversarially Robust Neural Networks. CoRR Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana
2020	—	`conf`	Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. SIGMETRICS (Abstracts) Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
2020	J	`jnl`	PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields. CoRR Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
2020	J	`jnl`	Programmable In-Network Obfuscation of Traffic. CoRR Liang Wang, Hyojoon Kim, Prateek Mittal, Jennifer Rexford
2020	J	`jnl`	Protecting the Grid Against MAD Attacks. IEEE Trans. Netw. Sci. Eng. Saleh Soltan, Prateek Mittal, H. Vincent Poor
2020	A*	`conf`	Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal
2020	J	`jnl`	RobustBench: a standardized adversarial robustness benchmark. CoRR Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein
2020	J	`jnl`	Securing Internet Applications from Routing Attacks. CoRR Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal
2020	J	`jnl`	Systematic Evaluation of Privacy Risks of Machine Learning Models. CoRR Liwei Song, Prateek Mittal
2020	J	`jnl`	Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks. CoRR Vikash Sehwag, Rajvardhan Oak, Mung Chiang, Prateek Mittal
2020	J	`jnl`	Towards Probabilistic Verification of Machine Unlearning. CoRR David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal
2020	J	`jnl`	Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
2020	J	`jnl`	nPrint: A Standard Data Representation for Network Traffic Analysis. CoRR Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal
2019	J	`jnl`	A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. Proc. VLDB Endow. Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2019	J	`jnl`	A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. CoRR Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2019	A*	`conf`	Analyzing Federated Learning through an Adversarial Lens. ICML Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo
2019	—	`conf`	Analyzing the Robustness of Open-World Machine Learning. AISec@CCS Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal
2019	J	`jnl`	Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples. CoRR Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal
2019	—	`ch.`	Comparative Study of Multi/Many-Objective Evolutionary Algorithms on Hot Rolling Application. Optimization in Industry Prateek Mittal, Affan Malik, Itishree Mohanty, Kishalay Mitra
2019	J	`jnl`	DPSelect: A Differential Privacy Based Guard Relay Selection Algorithm for Tor. Proc. Priv. Enhancing Technol. Hans Hanley, Yixin Sun, Sameer Wagh, Prateek Mittal
2019	J	`jnl`	De-SAG: On the De-Anonymization of Structure-Attribute Graph Data. IEEE Trans. Dependable Secur. Comput. Shouling Ji, Ting Wang, Jianhai Chen, Weiqing Li, Prateek Mittal, Raheem Beyah
2019	J	`jnl`	Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
2019	J	`jnl`	Guard Placement Attacks on Path Selection Algorithms for Tor. Proc. Priv. Enhancing Technol. Gerry Wan, Aaron Johnson, Ryan Wails, Sameer Wagh, Prateek Mittal
2019	J	`jnl`	Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal
2019	A*	`conf`	Lower Bounds on Adversarial Robustness from Optimal Transport. NeurIPS Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
2019	J	`jnl`	Lower Bounds on Adversarial Robustness from Optimal Transport. CoRR Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
2019	—	`conf`	Membership Inference Attacks Against Adversarially Robust Deep Learning Models. IEEE Symposium on Security and Privacy Workshops Liwei Song, Reza Shokri, Prateek Mittal
2019	J	`jnl`	Partial Recovery of Erdðs-Rényi Graph Alignment via k-Core Alignment. Proc. ACM Meas. Anal. Comput. Syst. Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
2019	A*	`conf`	Privacy Risks of Securing Machine Learning Models against Adversarial Examples. CCS Liwei Song, Reza Shokri, Prateek Mittal
2019	J	`jnl`	Privacy Risks of Securing Machine Learning Models against Adversarial Examples. CoRR Liwei Song, Reza Shokri, Prateek Mittal
2019	J	`jnl`	RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release. Proc. Priv. Enhancing Technol. Thee Chanyaswad, Changchang Liu, Prateek Mittal
2019	A*	`conf`	Robust Website Fingerprinting Through the Cache Occupancy Channel. USENIX Security Symposium Anatoly Shusterman, Lachlan Kang, Yarden Haskal, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom
2019	A*	`conf`	SICO: Surgical Interception Attacks by Manipulating BGP Communities. CCS Henry Birge-Lee, Liang Wang, Jennifer Rexford, Prateek Mittal
2019	J	`jnl`	Towards Compact and Robust Deep Neural Networks. CoRR Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana
2019	A*	`conf`	VACCINE: Using Contextual Integrity For Data Leakage Detection. WWW Yan Shvartzshnaider, Zvonimir Pavlinovic, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian, Helen Nissenbaum, Prateek Mittal
2019	B	`conf`	Variable Grid Resolution based Evolutionary Multi-objective optimization towards Micro-siting. CEC Prateek Mittal, Kishalay Mitra
2019	A*	`conf`	Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices. CCS Hooman Mohajeri Moghaddam, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Yuxing Huang, Nick Feamster, Edward W. Felten, Prateek Mittal, Arvind Narayanan
2018	J	`jnl`	A Differential Privacy Mechanism Design Under Matrix-Valued Query. CoRR Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018	J	`jnl`	A Query Tool for Efficiently Investigating Risky Software Behaviors. CoRR Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2018	—	`conf`	AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. USENIX ATC Peng Gao, Xusheng Xiao, Zhichun Li, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2018	J	`jnl`	AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. CoRR Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2018	—	`conf`	Acoustic Denial of Service Attacks on Hard Disk Drives. ASHES@CCS Mohammad Shahrad, Arsalan Mosenia, Liwei Song, Mung Chiang, David Wentzlaff, Prateek Mittal
2018	—	`conf`	Adaptive Fog-Based Output Security for Augmented Reality. VR/AR Network@SIGCOMM Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang, Prateek Mittal
2018	J	`jnl`	Analyzing Federated Learning through an Adversarial Lens. CoRR Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo
2018	—	`conf`	Automatically Generating a Large, Culture-Specific Blocklist for China. FOCI @ USENIX Security Symposium Austin Hounsel, Prateek Mittal, Nick Feamster
2018	A*	`conf`	Bamboozling Certificate Authorities with BGP. USENIX Security Symposium Henry Birge-Lee, Yixin Sun, Anne Edmundson, Jennifer Rexford, Prateek Mittal
2018	A*	`conf`	BlackIoT: IoT Botnet of High Wattage Devices Can Disrupt the Power Grid. USENIX Security Symposium Saleh Soltan, Prateek Mittal, H. Vincent Poor
2018	J	`jnl`	Blind De-anonymization Attacks using Social Networks. CoRR Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2018	Misc	`conf`	Blind source separation in the physical layer. CISS Alexander N. Tait, Thomas Ferreira de Lima, Philip Y. Ma, Matthew P. Chang, Mitchell A. Nahmias, Bhavin J. Shastri, Prateek Mittal, Paul R. Prucnal
2018	J	`jnl`	CensorSeeker: Generating a Large, Culture-Specific Blocklist for China. CoRR Austin Hounsel, Prateek Mittal, Nick Feamster
2018	J	`jnl`	Cracking ShadowCrypt: Exploring the Limitations of Secure I/O Systems in Internet Browsers. Proc. Priv. Enhancing Technol. Michael Freyberger, Warren He, Devdatta Akhawe, Michelle L. Mazurek, Prateek Mittal
2018	J	`jnl`	DARTS: Deceiving Autonomous Cars with Toxic Signs. CoRR Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal
2018	J	`jnl`	Differentially Private Oblivious RAM. Proc. Priv. Enhancing Technol. Sameer Wagh, Paul Cuff, Prateek Mittal
2018	Misc	`conf`	Enhancing robustness of machine learning systems via data transformations. CISS Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal
2018	B	`conf`	Fundamental Limits of Database Alignment. ISIT Daniel Cullina, Prateek Mittal, Negar Kiyavash
2018	J	`jnl`	Fundamental Limits of Database Alignment. CoRR Daniel Cullina, Prateek Mittal, Negar Kiyavash
2018	—	`conf`	Learning Informative and Private Representations via Generative Adversarial Networks. IEEE BigData Tsung-Yen Yang, Christopher G. Brinton, Prateek Mittal, Mung Chiang, Andrew S. Lan
2018	A*	`conf`	MVG Mechanism: Differential Privacy under Matrix-Valued Query. CCS Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018	J	`jnl`	MVG Mechanism: Differential Privacy under Matrix-Valued Query. CoRR Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018	A*	`conf`	Not All Pixels are Born Equal: An Analysis of Evasion Attacks under Locality Constraints. CCS Vikash Sehwag, Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal
2018	A*	`conf`	PAC-learning in the presence of adversaries. NeurIPS Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal
2018	J	`jnl`	PAC-learning in the presence of evasion adversaries. CoRR Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal
2018	J	`jnl`	Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. CoRR Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
2018	J	`jnl`	PinMe: Tracking a Smartphone User around the World. CoRR Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha
2018	J	`jnl`	PinMe: Tracking a Smartphone User around the World. IEEE Trans. Multi Scale Comput. Syst. Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha
2018	J	`jnl`	ProCMotive: Bringing Programmability and Connectivity into Isolated Vehicles. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Arsalan Mosenia, Jad F. Bechara, Tao Zhang, Prateek Mittal, Mung Chiang
2018	J	`jnl`	Protecting the Grid against IoT Botnets of High-Wattage Devices. CoRR Saleh Soltan, Prateek Mittal, H. Vincent Poor
2018	J	`jnl`	Robust Website Fingerprinting Through the Cache Occupancy Channel. CoRR Anatoly Shusterman, Lachlan Kang, Yarden Haskal, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom
2018	J	`jnl`	Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos. CoRR Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Prateek Mittal, Mung Chiang
2018	A*	`conf`	SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
2018	J	`jnl`	SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. CoRR Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
2018	—	`conf`	SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2018	J	`jnl`	SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2018	J	`jnl`	Tempest: Temporal Dynamics in Anonymity Systems. CoRR Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal
2018	J	`jnl`	Tempest: Temporal Dynamics in Anonymity Systems. Proc. Priv. Enhancing Technol. Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal
2018	A*	`conf`	Towards a Timely Causality Analysis for Enterprise Security. NDSS Yushan Liu, Mu Zhang, Ding Li, Kangkook Jee, Zhichun Li, Zhenyu Wu, Junghwan Rhee, Prateek Mittal
2017	J	`jnl`	Acoustic Denial of Service Attacks on HDDs. CoRR Mohammad Shahrad, Arsalan Mosenia, Liwei Song, Mung Chiang, David Wentzlaff, Prateek Mittal
2017	—	`conf`	Blind De-anonymization Attacks using Social Networks. WPES@CCS Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2017	A*	`conf`	Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks. HPCA Yanqi Zhou, Sameer Wagh, Prateek Mittal, David Wentzlaff
2017	A*	`conf`	Counter-RAPTOR: Safeguarding Tor Against Active Routing Attacks. IEEE Symposium on Security and Privacy Yixin Sun, Anne Edmundson, Nick Feamster, Mung Chiang, Prateek Mittal
2017	J	`jnl`	Counter-RAPTOR: Safeguarding Tor Against Active Routing Attacks. CoRR Yixin Sun, Anne Edmundson, Nick Feamster, Mung Chiang, Prateek Mittal
2017	J	`jnl`	Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release. CoRR Thee Chanyaswad, Changchang Liu, Prateek Mittal
2017	J	`jnl`	DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications. CoRR Changchang Liu, Supriyo Chakraborty, Prateek Mittal
2017	J	`jnl`	Dimensionality Reduction as a Defense against Evasion Attacks on Machine Learning Classifiers. CoRR Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
2017	J	`jnl`	Graph Data Anonymization, De-Anonymization Attacks, and De-Anonymizability Quantification: A Survey. IEEE Commun. Surv. Tutorials Shouling Ji, Prateek Mittal, Raheem A. Beyah
2017	—	`conf`	How to Quantify Graph De-anonymization Risks. ICISSP (Revised Selected Papers) Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2017	J	`jnl`	Inaudible Voice Commands. CoRR Liwei Song, Prateek Mittal
2017	A*	`conf`	POSTER: Inaudible Voice Commands. CCS Liwei Song, Prateek Mittal
2017	J	`jnl`	ProCMotive: Bringing Programability and Connectivity into Isolated Vehicles. CoRR Arsalan Mosenia, Jad F. Bechara, Tao Zhang, Prateek Mittal, Mung Chiang
2017	C	`conf`	Quantification of De-anonymization Risks in Social Networks. ICISSP Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2017	J	`jnl`	Quantification of De-anonymization Risks in Social Networks. CoRR Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2017	J	`jnl`	The VACCINE Framework for Building DLP Systems. CoRR Yan Shvartzshnaider, Zvonimir Pavlinovic, Thomas Wies, Lakshminarayanan Subramanian, Prateek Mittal, Helen Nissenbaum
2017	J	`jnl`	TorPolice: Towards Enforcing Service-Defined Access Policies in Anonymous Systems. CoRR Zhuotao Liu, Yushan Liu, Philipp Winter, Prateek Mittal, Yih-Chun Hu
2017	B	`conf`	TorPolice: Towards enforcing service-defined access policies for anonymous communication in the Tor network. ICNP Zhuotao Liu, Yushan Liu, Philipp Winter, Prateek Mittal, Yih-Chun Hu
2017	—	`conf`	Using EEG-Based BCI Devices to Subliminally Probe for Private Information. WPES@CCS Mario Frank, Tiffany Hwu, Sakshi Jain, Robert T. Knight, Ivan Martinovic, Prateek Mittal, Daniele Perito, Ivo Sluganovic, Dawn Song
2016	—	`ed.`	6th USENIX Workshop on Free and Open Communications on the Internet, FOCI '16, Austin, TX, USA, August 8, 2016. FOCI Amir Houmansadr, Prateek Mittal
2016	J	`jnl`	Crowdsourcing Verifiable Contextual Integrity Norms. CoRR Yan Shvartzshnaider, Schrasing Tong, Thomas Wies, Paula Kift, Helen Nissenbaum, Lakshminarayanan Subramanian, Prateek Mittal
2016	A*	`conf`	Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. NDSS Changchang Liu, Supriyo Chakraborty, Prateek Mittal
2016	—	`conf`	Discriminant-component eigenfaces for privacy-preserving face recognition. MLSP Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung
2016	B	`conf`	Learning Privacy Expectations by Crowdsourcing Contextual Informational Norms. HCOMP Yan Shvartzshnaider, Schrasing Tong, Thomas Wies, Paula Kift, Helen Nissenbaum, Lakshminarayanan Subramanian, Prateek Mittal
2016	A*	`conf`	LinkMirage: Enabling Privacy-preserving Analytics on Social Relationships. NDSS Changchang Liu, Prateek Mittal
2016	J	`jnl`	On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks. CoRR Daniel Cullina, Kushagra Singhal, Negar Kiyavash, Prateek Mittal
2016	A*	`conf`	On the relative de-anonymizability of graph data: Quantification and evaluation. INFOCOM Shouling Ji, Weiqing Li, Shukun Yang, Prateek Mittal, Raheem A. Beyah
2016	J	`jnl`	Root ORAM: A Tunable Differentially Private Oblivious RAM. CoRR Sameer Wagh, Paul Cuff, Prateek Mittal
2016	J	`jnl`	Seed-Based De-Anonymizability Quantification of Social Networks. IEEE Trans. Inf. Forensics Secur. Shouling Ji, Weiqing Li, Neil Zhenqiang Gong, Prateek Mittal, Raheem A. Beyah
2016	A*	`conf`	SmartWalk: Enhancing Social Network Security via Adaptive Random Walks. CCS Yushan Liu, Shouling Ji, Prateek Mittal
2015	A	`conf`	ASPIRE: Iterative Specification Synthesis for Security. HotOS Kevin Zhijie Chen, Warren He, Devdatta Akhawe, Vijay D'Silva, Prateek Mittal, Dawn Song
2015	A*	`conf`	Exploiting Temporal Dynamics in Sybil Defenses. CCS Changchang Liu, Peng Gao, Matthew K. Wright, Prateek Mittal
2015	J	`jnl`	LinkMirage: How to Anonymize Links in Dynamic Social Systems. CoRR Changchang Liu, Prateek Mittal
2015	A*	`conf`	On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge. NDSS Shouling Ji, Weiqing Li, Neil Zhenqiang Gong, Prateek Mittal, Raheem A. Beyah
2015	J	`jnl`	Optical Signal Processing and Stealth Transmission for Privacy. IEEE J. Sel. Top. Signal Process. Ben Wu, Bhavin J. Shastri, Prateek Mittal, Alexander N. Tait, Paul R. Prucnal
2015	A*	`conf`	RAPTOR: Routing Attacks on Privacy in Tor. USENIX Security Symposium Yixin Sun, Anne Edmundson, Laurent Vanbever, Oscar Li, Jennifer Rexford, Mung Chiang, Prateek Mittal
2015	J	`jnl`	RAPTOR: Routing Attacks on Privacy in Tor. CoRR Yixin Sun, Anne Edmundson, Laurent Vanbever, Oscar Li, Jennifer Rexford, Mung Chiang, Prateek Mittal
2015	A*	`conf`	SecGraph: A Uniform and Open-source Evaluation System for Graph Data Anonymization and De-anonymization. USENIX Security Symposium Shouling Ji, Weiqing Li, Prateek Mittal, Xin Hu, Raheem A. Beyah
2015	J	`jnl`	SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection. CoRR Peng Gao, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2014	Misc	`conf`	Anonymity on QuickSand: Using BGP to Compromise Tor. HotNets Laurent Vanbever, Oscar Li, Jennifer Rexford, Prateek Mittal
2014	A	`conf`	Re AsiaCCS Anupam Das, Nikita Borisov, Prateek Mittal, Matthew Caesar
2014	J	`jnl`	SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection. IEEE Trans. Inf. Forensics Secur. Neil Zhenqiang Gong, Mario Frank, Prateek Mittal
2013	A*	`conf`	Pisces: Anonymous Communication Using Social Networks. NDSS Prateek Mittal, Matthew K. Wright, Nikita Borisov
2013	A*	`conf`	Preserving Link Privacy in Social Network Based Systems. NDSS Prateek Mittal, Charalampos Papamanthou, Dawn Xiaodong Song
2013	J	`jnl`	Subliminal Probing for Private Information via EEG-Based BCI Devices. CoRR Mario Frank, Tiffany Hwu, Sakshi Jain, Robert T. Knight, Ivan Martinovic, Prateek Mittal, Daniele Perito, Dawn Song
2013	J	`jnl`	SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection. CoRR Neil Zhenqiang Gong, Mario Frank, Prateek Mittal
2012	A	`conf`	Cachet: a decentralized architecture for privacy preserving social networking with caching. CoNEXT Shirin Nilizadeh, Sonia Jahid, Prateek Mittal, Nikita Borisov, Apu Kapadia
2012	—	`conf`	DECENT: A decentralized architecture for enforcing privacy in online social networks. PerCom Workshops Sonia Jahid, Shirin Nilizadeh, Prateek Mittal, Nikita Borisov, Apu Kapadia
2012	J	`jnl`	Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+ CoRR Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
2012	A	`conf`	Evolution of social-attribute networks: measurements, modeling, and implications using google+. Internet Measurement Conference Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
2012	J	`jnl`	Information Leaks in Structured Peer-to-Peer Anonymous Communication Systems. ACM Trans. Inf. Syst. Secur. Prateek Mittal, Nikita Borisov
2012	J	`jnl`	Pisces: Anonymous Communication Using Social Networks CoRR Prateek Mittal, Matthew K. Wright, Nikita Borisov
2012	J	`jnl`	Preserving Link Privacy in Social Network Based Systems CoRR Prateek Mittal, Charalampos Papamanthou, Dawn Song
2012	J	`jnl`	SybilControl: Practical Sybil Defense with Computational Puzzles CoRR Frank Li, Prateek Mittal, Matthew Caesar, Nikita Borisov
2012	J	`jnl`	The Integration of Biological Pathway Knowledge in Cancer Genomics: A review of existing computational approaches. IEEE Signal Process. Mag. Vinay Varadan, Prateek Mittal, Charles J. Vaske, Stephen C. Benz
2012	—	`—`	Trustworthy and scalable anonymous communication Prateek Mittal
2012	A*	`conf`	X-Vine: Secure and Pseudonymous Routing in DHTs Using Social Networks. NDSS Prateek Mittal, Matthew Caesar, Nikita Borisov
2011	J	`jnl`	A Decentralized Architecture for Enforcing Privacy in Online Social Networks CoRR Sonia Jahid, Shirin Nilizadeh, Prateek Mittal, Nikita Borisov, Apu Kapadia
2011	A	`conf`	EASiER: encryption-based access control in social networks with efficient revocation. AsiaCCS Sonia Jahid, Prateek Mittal, Nikita Borisov
2011	A*	`conf`	PIR-Tor: Scalable Anonymous Communication Using Private Information Retrieval. USENIX Security Symposium Prateek Mittal, Femi G. Olumofin, Carmela Troncoso, Nikita Borisov, Ian Goldberg
2011	J	`jnl`	Stealthy Traffic Analysis of Low-Latency Anonymous Communication Using Throughput Fingerprinting CoRR Prateek Mittal, Ahmed Khurshid, Joshua Juen, Matthew Caesar, Nikita Borisov
2011	A*	`conf`	Stealthy traffic analysis of low-latency anonymous communication using throughput fingerprinting. CCS Prateek Mittal, Ahmed Khurshid, Joshua Juen, Matthew Caesar, Nikita Borisov
2011	J	`jnl`	Towards Deployable DDoS Defense for Web Applications CoRR Prateek Mittal, Dongho Kim, Yih-Chun Hu, Matthew Caesar
2011	J	`jnl`	X-Vine: Secure and Pseudonymous Routing Using Social Networks CoRR Prateek Mittal, Matthew Caesar, Nikita Borisov
2010	A*	`conf`	BotGrep: Finding P2P Bots with Structured Graph Analysis. USENIX Security Symposium Shishir Nagaraja, Prateek Mittal, Chi-Yao Hong, Matthew Caesar, Nikita Borisov
2010	A*	`conf`	In search of an anonymous and secure lookup: attacks on structured peer-to-peer anonymous communication systems. CCS Qiyan Wang, Prateek Mittal, Nikita Borisov
2010	—	`conf`	Scalable Anonymous Communication with Provable Security. HotSec Prateek Mittal, Nikita Borisov, Carmela Troncoso, Alfredo Rial
2009	Misc	`conf`	Securing Mediated Trace Access Using Black-box Permutation Analysis. HotNets Prateek Mittal, Vern Paxson, Robin Sommer, Mark Winterrowd
2009	A*	`conf`	ShadowWalker: peer-to-peer anonymous communication using redundant structured topologies. CCS Prateek Mittal, Nikita Borisov
2009	A*	`conf`	SybilInfer: Detecting Sybil Nodes using Social Networks. NDSS George Danezis, Prateek Mittal
2008	A	`conf`	Fair K Mutual Exclusion Algorithm for Peer to Peer Systems. ICDCS Vijay Anand Reddy, Prateek Mittal, Indranil Gupta
2008	A*	`conf`	Information leaks in structured peer-to-peer anonymous communication systems. CCS Prateek Mittal, Nikita Borisov
2007	A*	`conf`	Denial of service or denial of security? CCS Nikita Borisov, George Danezis, Prateek Mittal, Parisa Tabriz