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RelaxLoss: Defending Membership Inference Attacks without Losing Utility

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

12 July 2022
Dingfan Chen
Ning Yu
Mario Fritz
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Papers citing "RelaxLoss: Defending Membership Inference Attacks without Losing Utility"

3 / 3 papers shown
Title
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
Qizhang Feng
Siva Rajesh Kasa
Santhosh Kumar Kasa
Hyokun Yun
C. Teo
S. Bodapati
89
6
0
08 Jul 2024
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
Efficient Per-Example Gradient Computations
Efficient Per-Example Gradient Computations
Ian Goodfellow
186
74
0
07 Oct 2015
1