Reza Shokri - RankMe

127 papers A* 28A 8B 3C 2Journal 61Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity. EACL (Volume 1: Long Papers) Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
2026	J	`jnl`	Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity. CoRR Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
2025	J	`jnl`	(Token-Level) InfoRMIA: Stronger Membership Inference and Memorization Assessment for LLMs. CoRR Jiashu Tao, Reza Shokri
2025	A*	`conf`	Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. EMNLP Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri
2025	J	`jnl`	Contextual Integrity in LLMs via Reasoning and Reinforcement Learning. CoRR Guangchen Lan, Huseyin A. Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
2025	J	`jnl`	Firewalls to Secure Dynamic LLM Agentic Networks. CoRR Sahar Abdelnabi, Amr Gomaa, Eugene Bagdasarian, Per Ola Kristensson, Reza Shokri
2025	A*	`conf`	How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning. ICLR Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri
2025	J	`jnl`	Machine Learning from Explanations. CoRR Jiashu Tao, Reza Shokri
2025	A*	`conf`	Minerva: A Programmable Memory Test Benchmark for Language Models. ICML Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri
2025	J	`jnl`	Minerva: A Programmable Memory Test Benchmark for Language Models. CoRR Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri
2025	J	`jnl`	Multipolar Stimulator for Deep Brain Stimulation With Suppression of Stimulation-Induced Common-Mode Artifacts. IEEE Access Reza Shokri, Yarallah Koolivand, Omid Shoaei, Daniele D. Caviglia, Orazio Aiello
2025	—	`conf`	Range Membership Inference Attacks. SaTML Jiashu Tao, Reza Shokri
2025	—	`conf`	Sub-10nW, 73dB Gain, Inverter-Based Digital OTA with C-Muller Input Stage and Novel CMFB for Enhanced Performance in IoT Applications. NewCAS Riccardo Della Sala, Reza Shokri, Orazio Aiello, Daniele D. Caviglia, Giuseppe Scotti
2025	A*	`conf`	The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. ICML Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2025	J	`jnl`	The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. CoRR Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2025	—	`conf`	The Data Minimization Principle in Machine Learning. FAccT Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
2025	—	`conf`	Watermark Smoothing Attacks against Language Models. EMNLP (Findings) Hongyan Chang, Hamed Hassani, Reza Shokri
2024	J	`jnl`	A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications. Sensors Reza Shokri, Yarallah Koolivand, Omid Shoaei, Daniele D. Caviglia, Orazio Aiello
2024	A*	`conf`	Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. ICLR Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
2024	J	`jnl`	Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. CoRR Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri
2024	A*	`conf`	Efficient Privacy Auditing in Federated Learning. USENIX Security Symposium Hongyan Chang, Brandon Edwards, Anindya S. Paul, Reza Shokri
2024	—	`conf`	Highly Linear, Digital OTA With Modified Input Stage. PRIME Reza Shokri, Daniele D. Caviglia, Orazio Aiello
2024	A*	`conf`	Leave-one-out Distinguishability in Machine Learning. ICLR Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri
2024	A*	`conf`	Low-Cost High-Power Membership Inference Attacks. ICML Sajjad Zarifzadeh, Philippe Liu, Reza Shokri
2024	J	`jnl`	Range Membership Inference Attacks. CoRR Jiashu Tao, Reza Shokri
2024	—	`conf`	Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. EACL (2) Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick
2024	J	`jnl`	The Data Minimization Principle in Machine Learning. CoRR Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
2024	J	`jnl`	Watermark Smoothing Attacks against Language Models. CoRR Hongyan Chang, Hamed Hassani, Reza Shokri
2023	A*	`conf`	Bias Propagation in Federated Learning. ICLR Hongyan Chang, Reza Shokri
2023	J	`jnl`	Bias Propagation in Federated Learning. CoRR Hongyan Chang, Reza Shokri
2023	J	`jnl`	Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. CoRR Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
2023	A*	`conf`	Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. NeurIPS Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
2023	J	`jnl`	Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. CoRR Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
2023	J	`jnl`	Leave-one-out Distinguishability in Machine Learning. CoRR Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri
2023	J	`jnl`	Low-Cost High-Power Membership Inference by Boosting Relativity. CoRR Sajjad Zarifzadeh, Philippe Liu, Reza Shokri
2023	—	`conf`	Multipolar Stimulator for DBS Application with Concurrent Imbalance Compensation. ICECS Reza Shokri, Yarallah Koolivand, Omid Shoaei, Orazio Aiello, Daniele D. Caviglia
2023	—	`conf`	On The Impact of Machine Learning Randomness on Group Fairness. FAccT Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri
2023	J	`jnl`	On The Impact of Machine Learning Randomness on Group Fairness. CoRR Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri
2023	A*	`conf`	Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. ICLR Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
2023	J	`jnl`	Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. CoRR Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
2023	J	`jnl`	Smaller Language Models are Better Black-box Machine-Generated Text Detectors. CoRR Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick
2023	A*	`conf`	Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy. NeurIPS Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie J. Su
2023	J	`jnl`	Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy. CoRR Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie J. Su
2022	J	`jnl`	Data Privacy and Trustworthy Machine Learning. CoRR Martin Strobel, Reza Shokri
2022	J	`jnl`	Data Privacy and Trustworthy Machine Learning. IEEE Secur. Priv. Martin Strobel, Reza Shokri
2022	A*	`conf`	Differentially Private Learning Needs Hidden State (Or Much Faster Convergence). NeurIPS Jiayuan Ye, Reza Shokri
2022	J	`jnl`	Differentially Private Learning Needs Hidden State (Or Much Faster Convergence). CoRR Jiayuan Ye, Reza Shokri
2022	A*	`conf`	Enhanced Membership Inference Attacks against Machine Learning Models. CCS Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri
2022	J	`jnl`	Forget Unlearning: Towards True Data-Deletion in Machine Learning. CoRR Rishav Chourasia, Neil Shah, Reza Shokri
2022	—	`conf`	Model Explanations with Differential Privacy. FAccT Neel Patel, Reza Shokri, Yair Zick
2022	A*	`conf`	Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. EMNLP Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri
2022	J	`jnl`	Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. CoRR Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri
2022	A*	`conf`	Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. CCS Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini
2022	J	`jnl`	Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. CoRR Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini
2022	—	`conf`	What Does it Mean for a Language Model to Preserve Privacy? FAccT Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, Florian Tramèr
2022	J	`jnl`	What Does it Mean for a Language Model to Preserve Privacy? CoRR Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, Florian Tramèr
2021	A*	`conf`	Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent. NeurIPS Rishav Chourasia, Jiayuan Ye, Reza Shokri
2021	J	`jnl`	Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent. CoRR Rishav Chourasia, Jiayuan Ye, Reza Shokri
2021	J	`jnl`	Enhanced Membership Inference Attacks against Machine Learning Models. CoRR Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Reza Shokri
2021	A	`conf`	On the Privacy Risks of Algorithmic Fairness. EuroS&P Hongyan Chang, Reza Shokri
2021	C	`conf`	On the Privacy Risks of Model Explanations. AIES Reza Shokri, Martin Strobel, Yair Zick
2021	A	`conf`	Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models. AISTATS Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos
2020	A	`conf`	Bypassing Backdoor Detection Algorithms in Deep Learning. EuroS&P Te Juin Lester Tan, Reza Shokri
2020	J	`jnl`	Epione: Lightweight Contact Tracing with Strong Privacy. CoRR Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song
2020	J	`jnl`	Epione: Lightweight Contact Tracing with Strong Privacy. IEEE Data Eng. Bull. Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song
2020	J	`jnl`	Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising. CoRR Milad Nasr, Reza Shokri, Amir Houmansadr
2020	J	`jnl`	ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning. CoRR Sasi Kumar Murakonda, Reza Shokri
2020	A	`conf`	Membership Encoding for Deep Learning. AsiaCCS Congzheng Song, Reza Shokri
2020	J	`jnl`	Model Explanations with Differential Privacy. CoRR Neel Patel, Reza Shokri, Yair Zick
2020	J	`jnl`	On Adversarial Bias and the Robustness of Fair Machine Learning. CoRR Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri
2020	J	`jnl`	On the Privacy Risks of Algorithmic Fairness. CoRR Hongyan Chang, Reza Shokri
2020	J	`jnl`	SOTERIA: In Search of Efficient Neural Networks for Private Inference. CoRR Anshul Aggarwal, Trevor E. Carlson, Reza Shokri, Shruti Tople
2019	J	`jnl`	Bypassing Backdoor Detection Algorithms in Deep Learning. CoRR Te Juin Lester Tan, Reza Shokri
2019	A*	`conf`	Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning. IEEE Symposium on Security and Privacy Milad Nasr, Reza Shokri, Amir Houmansadr
2019	J	`jnl`	Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer. CoRR Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr
2019	J	`jnl`	Membership Encoding for Deep Learning. CoRR Congzheng Song, Reza Shokri
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`	Privacy Risks of Explaining Machine Learning Models. CoRR Reza Shokri, Martin Strobel, Yair Zick
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	C	`conf`	Trusting Machine Learning: Privacy, Robustness, and Transparency Challenges. IH&MMSec Reza Shokri
2019	J	`jnl`	Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models. CoRR Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos
2018	A*	`conf`	A Non-Parametric Generative Model for Human Trajectories. IJCAI Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang
2018	J	`jnl`	A Predictive Model for User Motivation and Utility Implications of Privacy-Protection Mechanisms in Location Check-Ins. IEEE Trans. Mob. Comput. Kévin Huguenin, Igor Bilogrevic, Joana Soares Machado, Stefan Mihaila, Reza Shokri, Italo Dacosta, Jean-Pierre Hubaux
2018	J	`jnl`	Chiron: Privacy-preserving Machine Learning as a Service. CoRR Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel
2018	J	`jnl`	Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks. CoRR Milad Nasr, Reza Shokri, Amir Houmansadr
2018	A*	`conf`	Machine Learning with Membership Privacy using Adversarial Regularization. CCS Milad Nasr, Reza Shokri, Amir Houmansadr
2018	J	`jnl`	Machine Learning with Membership Privacy using Adversarial Regularization. CoRR Milad Nasr, Reza Shokri, Amir Houmansadr
2017	A*	`conf`	Membership Inference Attacks Against Machine Learning Models. IEEE Symposium on Security and Privacy Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov
2017	J	`jnl`	Plausible Deniability for Privacy-Preserving Data Synthesis. CoRR Vincent Bindschaedler, Reza Shokri, Carl A. Gunter
2017	J	`jnl`	Plausible Deniability for Privacy-Preserving Data Synthesis. Proc. VLDB Endow. Vincent Bindschaedler, Reza Shokri, Carl A. Gunter
2017	J	`jnl`	Privacy Games Along Location Traces: A Game-Theoretic Framework for Optimizing Location Privacy. ACM Trans. Priv. Secur. Reza Shokri, George Theodorakopoulos, Carmela Troncoso
2017	J	`jnl`	Quantifying Interdependent Privacy Risks with Location Data. IEEE Trans. Mob. Comput. Alexandra-Mihaela Olteanu, Kévin Huguenin, Reza Shokri, Mathias Humbert, Jean-Pierre Hubaux
2016	J	`jnl`	Defeating Image Obfuscation with Deep Learning. CoRR Richard McPherson, Reza Shokri, Vitaly Shmatikov
2016	J	`jnl`	Membership Inference Attacks against Machine Learning Models. CoRR Reza Shokri, Marco Stronati, Vitaly Shmatikov
2016	A*	`conf`	Synthesizing Plausible Privacy-Preserving Location Traces. IEEE Symposium on Security and Privacy Vincent Bindschaedler, Reza Shokri
2015	A*	`conf`	Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms. NDSS Igor Bilogrevic, Kévin Huguenin, Stefan Mihaila, Reza Shokri, Jean-Pierre Hubaux
2015	J	`jnl`	Privacy Games: Optimal User-Centric Data Obfuscation. Proc. Priv. Enhancing Technol. Reza Shokri
2015	J	`jnl`	Privacy through Fake yet Semantically Real Traces. CoRR Vincent Bindschaedler, Reza Shokri
2015	A*	`conf`	Privacy-Preserving Deep Learning. CCS Reza Shokri, Vitaly Shmatikov
2015	—	`conf`	Privacy-preserving deep learning. Allerton Reza Shokri, Vitaly Shmatikov
2015	J	`jnl`	Quantifying and protecting location privacy. it Inf. Technol. Reza Shokri
2014	J	`jnl`	Hiding in the Mobile Crowd: LocationPrivacy through Collaboration. IEEE Trans. Dependable Secur. Comput. Reza Shokri, George Theodorakopoulos, Panos Papadimitratos, Ehsan Kazemi, Jean-Pierre Hubaux
2014	J	`jnl`	Privacy Games: Optimal Protection Mechanism Design for Bayesian and Differential Privacy. CoRR Reza Shokri
2014	—	`conf`	Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services. WPES George Theodorakopoulos, Reza Shokri, Carmela Troncoso, Jean-Pierre Hubaux, Jean-Yves Le Boudec
2014	J	`jnl`	Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services. CoRR George Theodorakopoulos, Reza Shokri, Carmela Troncoso, Jean-Pierre Hubaux, Jean-Yves Le Boudec
2014	A*	`conf`	Quantifying Web-Search Privacy. CCS Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, Vincent Lenders
2014	A	`conf`	Quantifying the Effect of Co-location Information on Location Privacy. Privacy Enhancing Technologies Alexandra-Mihaela Olteanu, Kévin Huguenin, Reza Shokri, Jean-Pierre Hubaux
2013	—	`ch.`	Quantifizierung und Schutz von Location Privacy. Ausgezeichnete Informatikdissertationen Reza Shokri
2013	—	`—`	Quantifying and Protecting Location Privacy. Reza Shokri
2012	A*	`conf`	Protecting location privacy: optimal strategy against localization attacks. CCS Reza Shokri, George Theodorakopoulos, Carmela Troncoso, Jean-Pierre Hubaux, Jean-Yves Le Boudec
2011	—	`conf`	Collaborative Location Privacy with Rational Users. GameSec Francisco Santos, Mathias Humbert, Reza Shokri, Jean-Pierre Hubaux
2011	B	`conf`	Collaborative Location Privacy. MASS Reza Shokri, Panos Papadimitratos, George Theodorakopoulos, Jean-Pierre Hubaux
2011	—	`conf`	Evaluating the Privacy Risk of Location-Based Services. Financial Cryptography Julien Freudiger, Reza Shokri, Jean-Pierre Hubaux
2011	A*	`conf`	Quantifying Location Privacy. IEEE Symposium on Security and Privacy Reza Shokri, George Theodorakopoulos, Jean-Yves Le Boudec, Jean-Pierre Hubaux
2011	A	`conf`	Quantifying Location Privacy: The Case of Sporadic Location Exposure. PETS Reza Shokri, George Theodorakopoulos, George Danezis, Jean-Pierre Hubaux, Jean-Yves Le Boudec
2010	—	`conf`	On the tradeoff between trust and privacy in wireless ad hoc networks. WISEC Maxim Raya, Reza Shokri, Jean-Pierre Hubaux
2010	—	`conf`	Unraveling an old cloak: k-anonymity for location privacy. WPES Reza Shokri, Carmela Troncoso, Claudia Díaz, Julien Freudiger, Jean-Pierre Hubaux
2009	—	`conf`	A distortion-based metric for location privacy. WPES Reza Shokri, Julien Freudiger, Murtuza Jadliwala, Jean-Pierre Hubaux
2009	—	`conf`	A practical secure neighbor verification protocol for wireless sensor networks. WISEC Reza Shokri, Marcin Poturalski, Gael Ravot, Panos Papadimitratos, Jean-Pierre Hubaux
2009	A	`conf`	On the Optimal Placement of Mix Zones. Privacy Enhancing Technologies Julien Freudiger, Reza Shokri, Jean-Pierre Hubaux
2009	A	`conf`	Preserving privacy in collaborative filtering through distributed aggregation of offline profiles. RecSys Reza Shokri, Pedram Pedarsani, George Theodorakopoulos, Jean-Pierre Hubaux
2008	B	`conf`	AntMig: A Novel Code Migration Method to Conserve Energy in Wireless Sensor Networks. WCNC Foroogh Anoosha, Reza Shokri, Nasser Yazdani, Amir Nayyeri
2007	—	`conf`	Anonymous Routing in MANET Using Random Identifiers. ICN Reza Shokri, Maysam Yabandeh, Nasser Yazdani
2007	—	`conf`	Chain-Based Anonymous Routing for Wireless Ad Hoc Networks. CCNC Reza Shokri, Nasser Yazdani, Ahmad Khonsari
2007	B	`conf`	Efficient and Adjustable Recipient Anonymity in Mobile Ad Hoc Networks. MASS Reza Shokri, Amir Nayyeri, Nasser Yazdani, Panos Papadimitratos
2006	—	`conf`	DDPM: Dynamic Deterministic Packet Marking for IP Traceback. ICON Reza Shokri, A. Varshovi, Hossein Mohammadi, Nasser Yazdani, B. Sadeghian