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The Privacy Onion Effect: Memorization is Relative

21 June 2022

Papers citing "The Privacy Onion Effect: Memorization is Relative"

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Title
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective Nima Naderloui Shenao Yan Binghui Wang Jie Fu Wendy Hui Wang Weiran Liu Yuan Hong AAML 47 0 0 16 Jun 2025
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Rui Wen Yiyong Liu Michael Backes Yang Zhang AAML 23 0 0 09 Jun 2025
Membership Inference Attacks on Sequence Models Lorenzo Rossi Michael Aerni Jie Zhang F. Tramèr 108 0 0 05 Jun 2025
Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models Jamie Hayes Ilia Shumailov Christopher A. Choquette-Choo Matthew Jagielski G. Kaissis ... Matthieu Meeus Yves-Alexandre de Montjoye Franziska Boenisch Adam Dziedzic A. Feder Cooper 65 1 0 24 May 2025
Covert Attacks on Machine Learning Training in Passively Secure MPC Matthew Jagielski Daniel Escudero Rahul Rachuri Peter Scholl 95 0 0 21 May 2025
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models Shristi Das Biswas Arani Roy Kaushik Roy DiffM 127 0 0 19 May 2025
PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMs Sriram Selvam Anneswa Ghosh 72 0 0 18 May 2025
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models Chong Chen Daochang Liu M. Shah Chang Xu 126 1 0 25 Apr 2025
Large Language Models Could Be Rote Learners Yuyang Xu Renjun Hu Haochao Ying Jian Wu Xing Shi Wei Lin ELM 440 0 0 11 Apr 2025
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models Chuan Qin Xiusi Chen Chengrui Wang Pengmin Wu Xi Chen ... Han Wu Chong Li Yuanchun Zhou H. Xiong Hengshu Zhu ELM 91 2 0 12 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 247 2 0 10 Mar 2025
Privacy Auditing of Large Language Models Ashwinee Panda Xinyu Tang Milad Nasr Christopher A. Choquette-Choo Prateek Mittal PILM 139 10 0 09 Mar 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus Lukas Wutschitz Santiago Zanella Béguelin Shruti Tople Reza Shokri 198 1 0 19 Feb 2025
Trustworthy AI: Safety, Bias, and Privacy -- A Survey Xingli Fang Jianwei Li Varun Mulchandani Jung-Eun Kim 93 0 0 11 Feb 2025
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations Kaixuan Huang Jiacheng Guo Zihao Li X. Ji Jiawei Ge ... Yangsibo Huang Chi Jin Xinyun Chen Chiyuan Zhang Mengdi Wang AAML LRM 251 17 0 10 Feb 2025
Synthetic Data Privacy Metrics Amy Steier Lipika Ramaswamy Andre Manoel Alexa Haushalter 101 1 0 08 Jan 2025
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification Ahmad Hassanpour Amir Zarei Khawla Mallat Anderson Santana de Oliveira Bian Yang 131 0 0 16 Dec 2024
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips Zachary Coalson Jeonghyun Woo Shiyang Chen Yu Sun Lishan Yang Prashant J. Nair Bo Fang Sanghyun Hong AAML 140 3 0 10 Dec 2024
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 85 0 0 12 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 89 0 0 05 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 117 11 0 03 Nov 2024
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles Patrick Mesana Clément Bénesse H. Lautraite Gilles Caporossi Sébastien Gambs TDI 84 0 0 02 Nov 2024
FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation Yuechun Gu Jiajie He Keke Chen 34 0 0 30 Oct 2024
Scalability of memorization-based machine unlearning Kairan Zhao Peter Triantafillou MU 102 4 0 21 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia Wilson 125 4 0 10 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 132 25 0 03 Oct 2024
Localizing Memorization in SSL Vision Encoders Wenhao Wang Adam Dziedzic Michael Backes Franziska Boenisch 75 2 0 27 Sep 2024
Predicting memorization within Large Language Models fine-tuned for classification Jérémie Dentan Davide Buscaldi A. Shabou Sonia Vanier 88 1 0 27 Sep 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? Rui Wen Michael Backes Yang Zhang TDI AAML 88 2 0 05 Sep 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 111 6 0 18 Jul 2024
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI Kaveen Hiniduma Suren Byna J. L. Bez Ravi Madduri 110 7 0 27 Jun 2024
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon USVSN Sai Prashanth Alvin Deng Kyle O'Brien Jyothir S V Mohammad Aflah Khan ... Jacob Ray Fuehne Stella Biderman Tracy Ke Katherine Lee Naomi Saphra 144 15 0 25 Jun 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 168 17 0 25 Jun 2024
Semantic Membership Inference Attack against Large Language Models Hamid Mozaffari Virendra J. Marathe MIALM 112 4 0 14 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 121 7 0 06 Jun 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models Dominik Hintersdorf Lukas Struppek Kristian Kersting Adam Dziedzic Franziska Boenisch 93 15 0 04 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities G. Farnadi Mohammad Havaei Negar Rostamzadeh 82 3 0 03 Jun 2024
What makes unlearning hard and what to do about it Kairan Zhao M. Kurmanji George-Octavian Barbulescu Eleni Triantafillou Peter Triantafillou MU 117 25 0 03 Jun 2024
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted Ruchika Chavhan Ondrej Bohdal Yongshuo Zong Da Li Timothy M. Hospedales 108 5 0 01 Jun 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Yue Liu Dawn Song Peter Henderson Prateek Mittal AAML 117 12 0 29 May 2024
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models Florent Guépin Natasa Krco Matthieu Meeus Yves-Alexandre de Montjoye 60 2 0 24 May 2024
Many-Shot Regurgitation (MSR) Prompting Shashank Sonkar Richard G. Baraniuk AAML 50 1 0 13 May 2024
LMEraser: Large Model Unlearning through Adaptive Prompt Tuning Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 121 1 0 17 Apr 2024
Data Readiness for AI: A 360-Degree Survey Kaveen Hiniduma Suren Byna J. L. Bez 74 8 0 08 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 91 28 0 04 Apr 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Jingyang Zhang Jingwei Sun Eric C. Yeats Ouyang Yang Martin Kuo Jianyi Zhang Hao Frank Yang Hai "Helen" Li 172 54 0 03 Apr 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 85 5 0 21 Mar 2024
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness Cheng-Long Wang Qi Li Zihang Xiang Yinzhi Cao Di Wang MU 80 3 0 19 Mar 2024
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention Jie Ren Yaxin Li Shenglai Zeng Han Xu Lingjuan Lyu Yue Xing Jiliang Tang 81 27 0 17 Mar 2024
Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models Kang Gu Md Rafi Ur Rashid Najrin Sultana Shagufta Mehnaz MU 102 7 0 13 Mar 2024