Matt Fredrikson

111 papers A* 27A 10B 2Journal 61Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition. CoRR Mateusz Dziemian, Maxwell Lin, Xiaohan Fu, Micha Nowak, Nick Winter, Eliot Krzysztof Jones, Andy Zou, Lama Ahmad, Kamalika Chaudhuri, Sahana Chennabasappa, Xander Davies, Lauren Deason, Benjamin L. Edelman, Tanner Emek, Ivan Evtimov, Jim Gust, Maia Hamin, Kat He, Klaudia Krawiecka, Riccardo Patana, Neil Perry, Troy Peterson, Xiangyu Qi, Javier Rando, Zifan Wang, Zihan Wang, Spencer Whitman, Eric Winsor, Arman Zharmagambetov, Matt Fredrikson, Zico Kolter
2026	J	`jnl`	Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models. CoRR Kai Hu, Abhinav Aggarwal, Mehran Khodabandeh, David Zhang, Eric Hsin, Li Chen, Ankit Jain, Matt Fredrikson, Akash Bharadwaj
2026	J	`jnl`	LipNeXt: Scaling up Lipschitz-based Certified Robustness to Billion-parameter Models. CoRR Kai Hu, Haoqi Hu, Matt Fredrikson
2026	J	`jnl`	SecCodePRM: A Process Reward Model for Code Security. CoRR Weichen Yu, Ravi Mangal, Yinyi Luo, Kai Hu, Jingxuan He, Corina S. Pasareanu, Matt Fredrikson
2026	—	`conf`	Sequential Pattern Recognition Attacks against Deployed Topic-Based Mechanisms. ICISSP (2) Saranya Vijayakumar, Norman Sadeh, Matt Fredrikson
2026	J	`jnl`	The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition. CoRR Xiaoze Liu, Weichen Yu, Matt Fredrikson, Xiaoqian Wang, Jing Gao
2026	J	`jnl`	The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems. CoRR Xiaoze Liu, Ruowang Zhang, Weichen Yu, Siheng Xiong, Liu He, Feijie Wu, Hoin Jung, Matt Fredrikson, Xiaoqian Wang, Jing Gao
2025	J	`jnl`	A Mixture of Linear Corrections Generates Secure Code. CoRR Weichen Yu, Ravi Mangal, Terry Yue Zhuo, Matt Fredrikson, Corina S. Pasareanu
2025	J	`jnl`	Adversarial Attacks on Robotic Vision Language Action Models. CoRR Eliot Krzysztof Jones, Alexander Robey, Andy Zou, Zachary Ravichandran, George J. Pappas, Hamed Hassani, Matt Fredrikson, J. Zico Kolter
2025	A*	`conf`	AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. ICLR Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, J. Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies
2025	A*	`conf`	Aligned LLMs Are Not Aligned Browser Agents. ICLR Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T. Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang
2025	J	`jnl`	Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing. CoRR Justin W. Lin, Eliot Krzysztof Jones, Donovan Julian Jasper, Ethan Jun-shen Ho, Anna Wu, Arnold Tianyi Yang, Neil Perry, Andy Zou, Matt Fredrikson, J. Zico Kolter, Percy Liang, Dan Boneh, Daniel E. Ho
2025	J	`jnl`	D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models. CoRR Satyapriya Krishna, Andy Zou, Rahul Gupta, Eliot Krzysztof Jones, Nick Winter, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson, Spyros Matsoukas
2025	J	`jnl`	Evaluating Language Model Reasoning about Confidential Information. CoRR Dylan Sam, Alexander Robey, Andy Zou, Matt Fredrikson, J. Zico Kolter
2025	A*	`conf`	LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses. CHI Weiran Lin, Anna Gerchanovsky, Omer Akgul, Lujo Bauer, Matt Fredrikson, Zifan Wang
2025	J	`jnl`	PrivCode: When Code Generation Meets Differential Privacy. CoRR Zheng Liu, Chen Gong, Terry Yue Zhuo, Kecen Li, Weichen Yu, Matt Fredrikson, Tianhao Wang
2025	B	`conf`	Prototype-Integrated Representation Learning for Novelty Detection. TrustCom Saranya Vijayakumar, Christos Faloutsos, Matt Fredrikson
2025	J	`jnl`	Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition. CoRR Andy Zou, Maxwell Lin, Eliot Krzysztof Jones, Micha Nowak, Mateusz Dziemian, Nick Winter, Alexander Grattan, Valent Nathanael, Ayla Croft, Xander Davies, Jai Patel, Robert Kirk, Nate Burnikell, Yarin Gal, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson
2025	J	`jnl`	Transferable Adversarial Attacks on Black-Box Vision-Language Models. CoRR Kai Hu, Weichen Yu, Li Zhang, Alexander Robey, Andy Zou, Chengming Xu, Haoqi Hu, Matt Fredrikson
2024	A*	`conf`	A Recipe for Improved Certifiable Robustness. ICLR Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson
2024	J	`jnl`	AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. CoRR Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, Eric Winsor, Jerome Wynne, Yarin Gal, Xander Davies
2024	A*	`conf`	Attacks and Defenses for Large Language Models on Coding Tasks. ASE Chi Zhang, Zifan Wang, Ruoshi Zhao, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina S. Pasareanu
2024	A*	`conf`	Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization. NeurIPS Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson
2024	J	`jnl`	Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization. CoRR Kai Hu, Weichen Yu, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Yining Li, Kai Chen, Zhiqiang Shen, Matt Fredrikson
2024	A*	`conf`	Improving Alignment and Robustness with Circuit Breakers. NeurIPS Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, J. Zico Kolter, Matt Fredrikson, Dan Hendrycks
2024	J	`jnl`	Improving Alignment and Robustness with Circuit Breakers. CoRR Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks
2024	J	`jnl`	Is Your Text-to-Image Model Robust to Caption Noise? CoRR Weichen Yu, Ziyan Yang, Shanchuan Lin, Qi Zhao, Jianyi Wang, Liangke Gui, Matt Fredrikson, Lu Jiang
2024	J	`jnl`	Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents. CoRR Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine T. Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, Summer Yue, Zifan Wang
2024	J	`jnl`	Sales Whisperer: A Human-Inconspicuous Attack on LLM Brand Recommendations. CoRR Weiran Lin, Anna Gerchanovsky, Omer Akgul, Lujo Bauer, Matt Fredrikson, Zifan Wang
2024	J	`jnl`	VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices. CoRR Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal
2023	J	`jnl`	A Recipe for Improved Certifiable Robustness: Capacity and Data. CoRR Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson
2023	A*	`conf`	Grounding Neural Inference with Satisfiability Modulo Theories. NeurIPS Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson
2023	J	`jnl`	Is Certifying 𝓁 CoRR Ravi Mangal, Klas Leino, Zifan Wang, Kai Hu, Weicheng Yu, Corina S. Pasareanu, Anupam Datta, Matt Fredrikson
2023	J	`jnl`	Learning Modulo Theories. CoRR Matt Fredrikson, Kaiji Lu, Saranya Vijayakumar, Somesh Jha, Vijay Ganesh, Zifan Wang
2023	A*	`conf`	On the Perils of Cascading Robust Classifiers. ICLR Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson
2023	J	`jnl`	Representation Engineering: A Top-Down Approach to AI Transparency. CoRR Andy Zou, Long Phan, Sarah Li Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks
2023	J	`jnl`	Scaling in Depth: Unlocking Robustness Certification on ImageNet. CoRR Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson
2023	J	`jnl`	Transfer Attacks and Defenses for Large Language Models on Coding Tasks. CoRR Chi Zhang, Zifan Wang, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina S. Pasareanu
2023	J	`jnl`	Universal and Transferable Adversarial Attacks on Aligned Language Models. CoRR Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson
2023	A*	`conf`	Unlocking Deterministic Robustness Certification on ImageNet. NeurIPS Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson
2022	J	`jnl`	Black-Box Audits for Group Distribution Shifts. CoRR Marc Juarez, Samuel Yeom, Matt Fredrikson
2022	A*	`conf`	Consistent Counterfactuals for Deep Models. ICLR Emily Black, Zifan Wang, Matt Fredrikson
2022	J	`jnl`	Degradation Attacks on Certifiably Robust Neural Networks. Trans. Mach. Learn. Res. Klas Leino, Chi Zhang, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu
2022	J	`jnl`	Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. Comput. Secur. Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
2022	J	`jnl`	Faithful Explanations for Deep Graph Models. CoRR Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta
2022	J	`jnl`	On the Perils of Cascading Robust Classifiers. CoRR Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson
2022	J	`jnl`	Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy. IEEE Access Helena Montenegro, Wilson Silva, Alex Gaudio, Matt Fredrikson, Asim Smailagic, Jaime S. Cardoso
2022	A	`conf`	Protecting user data through ephemeral ownership of IoT devices. MobiSys Han Zhang, Yuvraj Agarwal, Matt Fredrikson
2022	A*	`conf`	Robust Models Are More Interpretable Because Attributions Look Normal. ICML Zifan Wang, Matt Fredrikson, Anupam Datta
2022	A*	`conf`	Selective Ensembles for Consistent Predictions. ICLR Emily Black, Klas Leino, Matt Fredrikson
2022	—	`conf`	Self-correcting Neural Networks for Safe Classification. NSV/FoMLAS@CAV Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu
2022	A	`conf`	TEO: ephemeral ownership for IoT devices to provide granular data control. MobiSys Han Zhang, Yuvraj Agarwal, Matt Fredrikson
2021	A	`conf`	Automating Audit with Policy Inference. CSF Abhishek Bichhawat, Matt Fredrikson, Jean Yang
2021	J	`jnl`	Boundary Attributions Provide Normal (Vector) Explanations. CoRR Zifan Wang, Matt Fredrikson, Anupam Datta
2021	A*	`conf`	Capture: Centralized Library Management for Heterogeneous IoT Devices. USENIX Security Symposium Han Zhang, Abhijith Anilkumar, Matt Fredrikson, Yuvraj Agarwal
2021	J	`jnl`	Consistent Counterfactuals for Deep Models. CoRR Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta
2021	J	`jnl`	Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning. CoRR Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
2021	—	`conf`	Exploring Conceptual Soundness with TruLens. NeurIPS (Competition and Demos) Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang
2021	A*	`conf`	Fast Geometric Projections for Local Robustness Certification. ICLR Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu
2021	A*	`conf`	Globally-Robust Neural Networks. ICML Klas Leino, Zifan Wang, Matt Fredrikson
2021	J	`jnl`	Globally-Robust Neural Networks. CoRR Klas Leino, Zifan Wang, Matt Fredrikson
2021	—	`conf`	Leave-one-out Unfairness. FAccT Emily Black, Matt Fredrikson
2021	J	`jnl`	Leave-one-out Unfairness. CoRR Emily Black, Matt Fredrikson
2021	A*	`conf`	Machine Learning Explainability and Robustness: Connected at the Hip. KDD Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
2021	B	`conf`	Netter: Probabilistic, Stateful Network Models. VMCAI Han Zhang, Chi Zhang, Arthur Azevedo de Amorim, Yuvraj Agarwal, Matt Fredrikson, Limin Jia
2021	A*	`conf`	Relaxing Local Robustness. NeurIPS Klas Leino, Matt Fredrikson
2021	J	`jnl`	Relaxing Local Robustness. CoRR Klas Leino, Matt Fredrikson
2021	J	`jnl`	Selective Ensembles for Consistent Predictions. CoRR Emily Black, Klas Leino, Matt Fredrikson
2021	J	`jnl`	Self-Repairing Neural Networks: Provable Safety for Deep Networks via Dynamic Repair. CoRR Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu
2021	J	`jnl`	The Design of the User Interfaces for Privacy Enhancements for Android. CoRR Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson, Mike Czapik, Shawn Hanna, Swarup Sahoo, Judy Chun, Won-Woo Chung, Aniruddh Iyer, Ally Liu, Shen Lu, Rituparna Roychoudhury, Qian Wang, Shan Wang, Siqi Wang, Vida Zhang, Jessica Zhao, Yuan Jiang, Haojian Jin, Sam Kim, Evelyn Kuo, Tianshi Li, Jinping Liu, Yile Liu, Robert Zhang
2020	A	`conf`	Contextual and Granular Policy Enforcement in Database-backed Applications. AsiaCCS Abhishek Bichhawat, Matt Fredrikson, Jean Yang, Akash Trehan
2020	J	`jnl`	Fast Geometric Projections for Local Robustness Certification. CoRR Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu
2020	—	`conf`	FlipTest: fairness testing via optimal transport. FAT* Emily Black, Samuel Yeom, Matt Fredrikson
2020	A*	`conf`	Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness. IJCAI Samuel Yeom, Matt Fredrikson
2020	J	`jnl`	Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness. CoRR Samuel Yeom, Matt Fredrikson
2020	A*	`conf`	Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models. ACL Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson, Anupam Datta
2020	J	`jnl`	Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models. CoRR Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson, Anupam Datta
2020	—	`conf`	Interpreting Interpretations: Organizing Attribution Methods by Criteria. CVPR Workshops Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson
2020	J	`jnl`	Interpreting Interpretations: Organizing Attribution Methods by Criteria. CoRR Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson
2020	A	`conf`	Learning Fair Representations for Kernel Models. AISTATS Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar
2020	J	`jnl`	Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning. J. Comput. Secur. Samuel Yeom, Irene Giacomelli, Alan Menaged, Matt Fredrikson, Somesh Jha
2020	A*	`conf`	Reconciling noninterference and gradual typing. LICS Arthur Azevedo de Amorim, Matt Fredrikson, Limin Jia
2020	A*	`conf`	Smoothed Geometry for Robust Attribution. NeurIPS Zifan Wang, Haofan Wang, Shakul Ramkumar, Piotr Mardziel, Matt Fredrikson, Anupam Datta
2020	J	`jnl`	Smoothed Geometry for Robust Attribution. CoRR Zifan Wang, Haofan Wang, Shakul Ramkumar, Matt Fredrikson, Piotr Mardziel, Anupam Datta
2020	A*	`conf`	Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference. USENIX Security Symposium Klas Leino, Matt Fredrikson
2019	—	`conf`	Feature-Wise Bias Amplification. ICLR (Poster) Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta
2019	J	`jnl`	FlipTest: Fairness Auditing via Optimal Transport. CoRR Emily Black, Samuel Yeom, Matt Fredrikson
2019	J	`jnl`	Learning Fair Representations for Kernel Models. CoRR Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar
2019	J	`jnl`	Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference. CoRR Klas Leino, Matt Fredrikson
2018	J	`jnl`	ESTRELA: Automated Policy Enforcement Across Remote APIs. CoRR Abhishek Bichhawat, Akash Trehan, Jean Yang, Matt Fredrikson
2018	J	`jnl`	Feature-Wise Bias Amplification. CoRR Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta
2018	A*	`conf`	Hunting for Discriminatory Proxies in Linear Regression Models. NeurIPS Samuel Yeom, Anupam Datta, Matt Fredrikson
2018	J	`jnl`	Hunting for Discriminatory Proxies in Linear Regression Models. CoRR Samuel Yeom, Anupam Datta, Matt Fredrikson
2018	A	`conf`	Influence-Directed Explanations for Deep Convolutional Networks. ITC Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li
2018	J	`jnl`	Influence-Directed Explanations for Deep Convolutional Networks. CoRR Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson
2018	A	`conf`	Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting. CSF Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha
2018	—	`conf`	Quantitative underpinnings of secure, graceful degradation: poster. HotSoS Ryan Wagner, David Garlan, Matt Fredrikson
2017	J	`jnl`	PrivacyProxy: Leveraging Crowdsourcing and In Situ Traffic Analysis to Detect and Mitigate Information Leakage. CoRR Gaurav Srivastava, Saksham Chitkara, Kevin Ku, Swarup Kumar Sahoo, Matt Fredrikson, Jason I. Hong, Yuvraj Agarwal
2017	J	`jnl`	Proxy Non-Discrimination in Data-Driven Systems. CoRR Anupam Datta, Matt Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen
2017	J	`jnl`	The Unintended Consequences of Overfitting: Training Data Inference Attacks. CoRR Samuel Yeom, Matt Fredrikson, Somesh Jha
2016	A	`conf`	The Limitations of Deep Learning in Adversarial Settings. EuroS&P Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, Ananthram Swami
2015	A*	`conf`	Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures. CCS Matt Fredrikson, Somesh Jha, Thomas Ristenpart
2015	J	`jnl`	The Limitations of Deep Learning in Adversarial Settings. CoRR Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, Ananthram Swami
2014	A	`conf`	MoRePriv: mobile OS support for application personalization and privacy. ACSAC Drew Davidson, Matt Fredrikson, Benjamin Livshits
2010	—	`ch.`	A Declarative Framework for Intrusion Analysis. Cyber Situational Awareness Matt Fredrikson, Mihai Christodorescu, Jonathon T. Giffin, Somesh Jha
2010	A*	`conf`	Automatic Generation of Remediation Procedures for Malware Infections. USENIX Security Symposium Roberto Paleari, Lorenzo Martignoni, Emanuele Passerini, Drew Davidson, Matt Fredrikson, Jonathon T. Giffin, Somesh Jha
2010	—	`ch.`	Cyber SA: Situational Awareness for Cyber Defense. Cyber Situational Awareness Paul Barford, Marc Dacier, Thomas G. Dietterich, Matt Fredrikson, Jonathon T. Giffin, Sushil Jajodia, Somesh Jha, Jason H. Li, Peng Liu, Peng Ning, Xinming Ou, Dawn Song, Laura Strater, Vipin Swarup, George P. Tadda, C. Wang, John Yen
2010	—	`ch.`	Mining Large Information Networks by Graph Summarization. Link Mining Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han
2010	A*	`conf`	Synthesizing Near-Optimal Malware Specifications from Suspicious Behaviors. IEEE Symposium on Security and Privacy Matt Fredrikson, Somesh Jha, Mihai Christodorescu, Reiner Sailer, Xifeng Yan
2009	J	`jnl`	Mining Graph Patterns Efficiently via Randomized Summaries. Proc. VLDB Endow. Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han
2008	A	`conf`	A Layered Architecture for Detecting Malicious Behaviors. RAID Lorenzo Martignoni, Elizabeth Stinson, Matt Fredrikson, Somesh Jha, John C. Mitchell