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The Privacy Onion Effect: Memorization is Relative

21 June 2022

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

32 / 82 papers shown

Title
MACE: Mass Concept Erasure in Diffusion Models Shilin Lu Zilan Wang Leyang Li Yanzhu Liu A. Kong DiffM 94 93 0 10 Mar 2024
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy Jamie Hayes Ilia Shumailov Eleni Triantafillou Amr Khalifa Nicolas Papernot MU 94 38 0 02 Mar 2024
Copyright Traps for Large Language Models Matthieu Meeus Igor Shilov Manuel Faysse Yves-Alexandre de Montjoye 117 22 0 14 Feb 2024
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models Ziqiang Yuan Kaiyuan Wang Shoutai Zhu Ye Yuan Jingya Zhou Yanlin Zhu Wenqi Wei 80 9 0 19 Jan 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization Wenhao Wang Muhammad Ahmad Kaleem Adam Dziedzic Michael Backes Nicolas Papernot Franziska Boenisch SSL 83 11 0 19 Jan 2024
Traces of Memorisation in Large Language Models for Code Ali Al-Kaswan Maliheh Izadi Arie van Deursen ELM 62 17 0 18 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 169 2 0 07 Dec 2023
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers Chi-Pin Huang Kai-Po Chang Chung-Ting Tsai Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang DiffM 107 56 0 29 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 107 1 0 06 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 109 4 0 02 Nov 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 175 2 0 20 Oct 2023
Generation or Replication: Auscultating Audio Latent Diffusion Models Dimitrios Bralios Gordon Wichern François Germain Zexu Pan Sameer Khurana Chiori Hori Jonathan Le Roux DiffM 67 6 0 16 Oct 2023
Why Train More? Effective and Efficient Membership Inference via Memorization Jihye Choi Shruti Tople Varun Chandrasekaran Somesh Jha TDI FedML 100 2 0 12 Oct 2023
Unified Concept Editing in Diffusion Models Rohit Gandikota Hadas Orgad Yonatan Belinkov Joanna Materzyñska David Bau DiffM 110 192 0 25 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 165 57 0 14 Aug 2023
What can we learn from Data Leakage and Unlearning for Law? Jaydeep Borkar PILM MU 119 11 0 19 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 128 7 0 01 Jul 2023
Ticketed Learning-Unlearning Schemes Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Ayush Sekhari Chiyuan Zhang MU 86 9 0 27 Jun 2023
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing Matthieu Meeus Florent Guépin Ana-Maria Cretu Yves-Alexandre de Montjoye 179 24 0 17 Jun 2023
Collaborative Learning via Prediction Consensus Dongyang Fan Celestine Mendler-Dünner Martin Jaggi FedML 93 9 0 29 May 2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison Justus Mattern Fatemehsadat Mireshghallah Zhijing Jin Bernhard Schölkopf Mrinmaya Sachan Taylor Berg-Kirkpatrick MIALM 121 191 0 29 May 2023
Students Parrot Their Teachers: Membership Inference on Model Distillation Matthew Jagielski Milad Nasr Christopher A. Choquette-Choo Katherine Lee Nicholas Carlini FedML 73 23 0 06 Mar 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus DD 95 7 0 02 Feb 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 81 47 0 21 Dec 2022
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers Guangsheng Zhang B. Liu Huan Tian Tianqing Zhu Ming Ding Wanlei Zhou PILM MIACV 92 6 0 20 Oct 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries Yuxin Wen Arpit Bansal Hamid Kazemi Eitan Borgnia Micah Goldblum Jonas Geiping Tom Goldstein MIACV 122 32 0 19 Oct 2022
Deep Regression Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli BDL MU 67 36 0 15 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 226 239 0 04 Oct 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 71 12 0 29 Aug 2022
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent Da Yu Gautam Kamath Janardhan Kulkarni Tie-Yan Liu Jian Yin Huishuai Zhang 158 22 0 06 Jun 2022
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning Vasisht Duddu S. Szyller Nadarajah Asokan 76 13 0 04 Dec 2021
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 248 472 0 09 Aug 2020