Hengrui Jia

According to our database, Hengrui Jia authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Backdoor Detection Through Replicated Execution of Outsourced Training.

Hengrui Jia, Sierra Calanda Wyllie, Akram Bin Sediq, Ahmed Ibrahim, Nicolas Papernot

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD.

Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot

Proceedings of the 33rd USENIX Security Symposium, 2024

LLM Dataset Inference: Did you train on my dataset?

Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Proof-of-Learning is Currently More Broken Than You Think.

Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022

On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning.

Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

CoRR, 2022

On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning.

Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot

Proceedings of the 31st USENIX Security Symposium, 2022

A Zest of LIME: Towards Architecture-Independent Model Distances.

Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

SoK: Machine Learning Governance.

Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

CoRR, 2021

Entangled Watermarks as a Defense against Model Extraction.

Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot

Proceedings of the 30th USENIX Security Symposium, 2021

Proof-of-Learning: Definitions and Practice.

Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Machine Unlearning.

Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

2020

Entangled Watermarks as a Defense against Model Extraction.

Hengrui Jia, Christopher A. Choquette-Choo, Nicolas Papernot

CoRR, 2020