Hengrui Jia

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Hyperspectral Image Classification

Top Venues

USENIX Security Symposium

IEEE Symposium on Security and Privacy

Publications

Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
LLM Dataset Inference: Did you train on my dataset? CoRR (2024)
Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. USENIX Security Symposium (2024)
Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. CoRR (2023)
Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
Proof-of-Learning is Currently More Broken Than You Think. EuroS&P (2023)
Papia F. Rozario, Eleana Ruehmann, Tyler Pham, Tianqi Sun, Jacob Jensen, Hengrui Jia, Zhongyue Yu, Rahul Gomes
Deep Learning Patch-Based Approach for Hyperspectral Image Classification. eIT (2023)
Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning. USENIX Security Symposium (2022)
Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. CoRR (2022)
Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
A Zest of LIME: Towards Architecture-Independent Model Distances. ICLR (2022)
Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning. CoRR (2021)
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot
Machine Unlearning. IEEE Symposium on Security and Privacy (2021)
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
Proof-of-Learning: Definitions and Practice. CoRR (2021)
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
SoK: Machine Learning Governance. CoRR (2021)
Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot
Entangled Watermarks as a Defense against Model Extraction. USENIX Security Symposium (2021)
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
Proof-of-Learning: Definitions and Practice. IEEE Symposium on Security and Privacy (2021)
Hengrui Jia, Christopher A. Choquette-Choo, Nicolas Papernot
Entangled Watermarks as a Defense against Model Extraction. CoRR (2020)
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot
Machine Unlearning. CoRR (2019)