Scalable Membership Inference Attacks via Quantile Regression

7 July 2023

Papers citing "Scalable Membership Inference Attacks via Quantile Regression"

31 / 31 papers shown

Title
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead Viktor Schlegel Anil A Bharath Zilong Zhao Kevin Yee 66 0 0 26 Mar 2025
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search Yu Feng Puzhen Zhang Guohui Xiao Linfang Ding Liqiu Meng AI4CE 46 0 0 18 Mar 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity D. López Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 51 0 0 12 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network Zhenlong Liu Wenyu Jiang Feng Zhou Hongxin Wei MIALM 66 1 0 10 Mar 2025
Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective Yiwen Tu Pingbang Hu Jiaqi W. Ma MU 53 2 0 17 Feb 2025
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference Roman Levin Valeriia Cherepanova Abhimanyu Hans Avi Schwarzschild Tom Goldstein 61 1 0 14 Feb 2025
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Rongqing Li Jiaqi Yu Changsheng Li Wenhan Luo Ye Yuan Guoren Wang MLAU 76 0 0 08 Dec 2024
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference Depeng Chen Hao Chen Hulin Jin Jie Cui Hong Zhong 56 0 0 24 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 39 0 0 05 Nov 2024
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Thomas Steinke Milad Nasr Arun Ganesh Borja Balle Christopher A. Choquette-Choo Matthew Jagielski Jamie Hayes Abhradeep Thakurta Adam Smith Andreas Terzis 23 6 0 08 Oct 2024
Order of Magnitude Speedups for LLM Membership Inference Rongting Zhang Martín Bertrán Aaron Roth 24 1 0 22 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding Cheng Wang Yiwei Wang Bryan Hooi Yujun Cai Nanyun Peng Kai-Wei Chang 35 2 0 05 Sep 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 22 3 0 21 Jul 2024
DDFAD: Dataset Distillation Framework for Audio Data Wenbo Jiang Rui Zhang Hongwei Li Xiaoyuan Liu Haomiao Yang Shui Yu DD 19 2 0 15 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 51 1 0 02 Jul 2024
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David E. Evans MIACV MIALM AAML 42 1 0 17 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 20 2 0 11 Jun 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu AAML 19 5 0 30 May 2024
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation Andrey V. Galichin Mikhail Aleksandrovich Pautov Alexey Zhavoronkin Oleg Y. Rogov Ivan V. Oseledets AAML 19 1 0 13 May 2024
Do Membership Inference Attacks Work on Large Language Models? Michael Duan Anshuman Suri Niloofar Mireshghallah Sewon Min Weijia Shi Luke Zettlemoyer Yulia Tsvetkov Yejin Choi David E. Evans Hanna Hajishirzi MIALM 27 32 0 12 Feb 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Hongxin Wei 11 2 0 08 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 8 3 0 22 Jan 2024
Membership Inference Attacks on Diffusion Models via Quantile Regression Shuai Tang Zhiwei Steven Wu Sergul Aydore Michael Kearns Aaron Roth 13 14 0 08 Dec 2023
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh Philippe Liu Reza Shokri 33 33 0 06 Dec 2023
MoPe: Model Perturbation-based Privacy Attacks on Language Models Marvin Li Jason Wang Jeffrey G. Wang Seth Neel AAML 17 18 0 22 Oct 2023
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan R. Ullman 23 5 0 05 Oct 2023
Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design Yongchao Chen Osvaldo Simeone Bashir M. Al-Hashimi 21 4 0 27 Sep 2023
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach Mohammad Hoseinpour Milad Hoseinpour A. Aghagolzadeh 8 0 0 25 Jul 2023
Batch Multivalid Conformal Prediction Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 58 48 0 30 Sep 2022
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 177 357 0 24 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014