Hengrui Jia

PhD student, University of Toronto

Joined

September 2021

Names

Hengrui Jia (Preferred)

Emails

****@mail.utoronto.ca (Confirmed)

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Career & Education History

PhD student

University of Toronto (utoronto.ca)

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No areas of expertise listed

Publications

Backdoor Detection through Replicated Execution of Outsourced Training
Sierra Calanda Wyllie, Hengrui Jia, Ahmed Ibrahim, Akram Bin Sediq, Nicolas Papernot
- SaTML
- Readers: Everyone
The Metric Mirage: A False Sense of Unlearning
Hengrui Jia, Taoran Li, Jonas Guan, Varun Chandrasekaran
- OpenReview Archive Direct Upload
- Readers: Everyone
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
- Readers: Everyone
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
- Readers: Everyone
LLM Dataset Inference: Did you train on my dataset?
Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
- NeurIPS 2024 poster
- Readers: Everyone
Finding Private Bugs: Debugging Implementations of Differentially Private Stochastic Gradient Descent
Congyu Fang, Hengrui Jia, Ali Shahin Shamsabadi, Nicolas Papernot
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
- 2022 (modified: 18 Nov 2022)
- USENIX Security Symposium 2022
- Readers: Everyone
A Zest of LIME: Towards Architecture-Independent Model Distances
Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
- 2022 (modified: 24 Apr 2023)
- ICLR 2022
- Readers: Everyone
A Zest of LIME: Towards Architecture-Independent Model Distances
Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Machine Unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot
- 2021 (modified: 25 Feb 2022)
- IEEE Symposium on Security and Privacy 2021
- Readers: Everyone

View all 13 publications