SoK: Unintended Interactions among Machine Learning Defenses and Risks

SoK: Unintended Interactions among Machine Learning Defenses and Risks

7 December 2023

Nadarajah Asokan

Papers citing "SoK: Unintended Interactions among Machine Learning Defenses and Risks"

16 / 16 papers shown

Title
On the Alignment of Group Fairness with Attribute Privacy Jan Aalmoes Vasisht Duddu A. Boutet 20 2 0 18 Nov 2022
Amplifying Membership Exposure via Data Poisoning Yufei Chen Chao Shen Yun Shen Cong Wang Yang Zhang AAML 43 27 0 01 Nov 2022
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 23 18 0 18 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 23 23 0 16 Sep 2022
Data Privacy and Trustworthy Machine Learning Martin Strobel Reza Shokri SILM FaML 8 24 0 14 Sep 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 130 48 0 04 Jul 2022
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale A. Veldanda Ivan Brugere Jiahao Chen Sanghamitra Dutta Alan Mishler S. Garg 17 7 0 29 Jun 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aivodji Stephen H. Bach Himabindu Lakkaraju 35 55 0 15 May 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification Yuxin Wen Jonas Geiping Liam H. Fowl Micah Goldblum Tom Goldstein FedML 74 91 0 01 Feb 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 39 27 0 28 Jan 2022
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models Shagufta Mehnaz S. V. Dibbo Ehsanul Kabir Ninghui Li E. Bertino MIACV 27 60 0 23 Jan 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 237 588 0 14 Jul 2021
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 61 100 0 21 Apr 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 245 80 0 11 Dec 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 668 0 19 Oct 2020