Hengrui Jia - RankMe

19 papers A* 7A 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Backdoor Detection Through Replicated Execution of Outsourced Training. SaTML Hengrui Jia, Sierra Calanda Wyllie, Akram Bin Sediq, Ahmed Ibrahim, Nicolas Papernot
2025	J	`jnl`	Backdoor Detection through Replicated Execution of Outsourced Training. CoRR Hengrui Jia, Sierra Calanda Wyllie, Akram Bin Sediq, Ahmed Ibrahim, Nicolas Papernot
2025	J	`jnl`	The Erasure Illusion: Stress-Testing the Generalization of LLM Forgetting Evaluation. CoRR Hengrui Jia, Taoran Li, Jonas Guan, Varun Chandrasekaran
2024	A*	`conf`	Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. USENIX Security Symposium Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot
2024	A*	`conf`	LLM Dataset Inference: Did you train on my dataset? NeurIPS Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
2024	J	`jnl`	LLM Dataset Inference: Did you train on my dataset? CoRR Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
2023	J	`jnl`	Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. CoRR Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot
2023	A	`conf`	Proof-of-Learning is Currently More Broken Than You Think. EuroS&P Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
2022	A*	`conf`	A Zest of LIME: Towards Architecture-Independent Model Distances. ICLR Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
2022	J	`jnl`	On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. CoRR Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
2022	A*	`conf`	On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning. USENIX Security Symposium Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
2021	A*	`conf`	Entangled Watermarks as a Defense against Model Extraction. USENIX Security Symposium Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot
2021	A*	`conf`	Machine Unlearning. SP Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot
2021	J	`jnl`	On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning. CoRR Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
2021	A*	`conf`	Proof-of-Learning: Definitions and Practice. SP Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
2021	J	`jnl`	Proof-of-Learning: Definitions and Practice. CoRR Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
2021	J	`jnl`	SoK: Machine Learning Governance. CoRR Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
2020	J	`jnl`	Entangled Watermarks as a Defense against Model Extraction. CoRR Hengrui Jia, Christopher A. Choquette-Choo, Nicolas Papernot
2019	J	`jnl`	Machine Unlearning. CoRR Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot