Certified Defenses for Data Poisoning Attacks

9 June 2017

Pang Wei Koh

Papers citing "Certified Defenses for Data Poisoning Attacks"

36 / 36 papers shown

Title
Traceback of Poisoning Attacks to Retrieval-Augmented Generation Baolei Zhang Haoran Xin Minghong Fang Zhuqing Liu Biao Yi Tong Li Zheli Liu SILM AAML 102 0 0 30 Apr 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Siyang Song 124 1 0 26 Feb 2025
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging Rui Luo Jie Bao Zhixin Zhou Chuangyin Dang MedIm AAML 132 5 0 07 Nov 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory Zihong He Weizhe Lin Hao Zheng Fan Zhang Matt Jones Laurence Aitchison X. Xu Miao Liu Per Ola Kristensson Junxiao Shen 110 2 0 01 Nov 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 88 1 0 13 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 75 12 0 25 Jun 2024
Support Vector Machines under Adversarial Label Contamination Huang Xiao Battista Biggio B. Nelson Han Xiao Claudia Eckert Fabio Roli AAML 31 231 0 01 Jun 2022
Poisoning Behavioral Malware Clustering Battista Biggio Konrad Rieck Andrea Valenza Christian Wressnegger Igino Corona Giorgio Giacinto Fabio Roli 23 152 0 25 Nov 2018
Is Data Clustering in Adversarial Settings Secure? Battista Biggio I. Pillai Samuel Rota Buló Andrea Valenza Marcello Pelillo Fabio Roli AAML 25 129 0 25 Nov 2018
Is feature selection secure against training data poisoning? Huang Xiao Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli AAML SILM 39 423 0 21 Apr 2018
Security Evaluation of Pattern Classifiers under Attack Battista Biggio Giorgio Fumera Fabio Roli AAML 39 442 0 02 Sep 2017
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data Sangdon Park James Weimer Insup Lee AAML 44 6 0 10 Aug 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 134 2,854 0 14 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 49 411 0 08 Mar 2017
Generative Poisoning Attack Method Against Neural Networks Chaofei Yang Qing Wu Hai Helen Li Yiran Chen AAML 54 218 0 03 Mar 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 62 832 0 08 Feb 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks Vahid Behzadan Arslan Munir AAML SILM 45 275 0 16 Jan 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 54 472 0 11 Nov 2016
Learning from Untrusted Data Moses Charikar Jacob Steinhardt Gregory Valiant FedML OOD 67 293 0 07 Nov 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 68 1,798 0 09 Sep 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering Bo Li Yining Wang Aarti Singh Yevgeniy Vorobeychik AAML 53 341 0 29 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 489 5,868 0 08 Jul 2016
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction Jacob Steinhardt Gregory Valiant Moses Charikar 33 44 0 16 Jun 2016
Curie: A method for protecting SVM Classifier from Poisoning Attack Ricky Laishram V. Phoha AAML 8 49 0 05 Jun 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 78 1,735 0 24 May 2016
Agnostic Estimation of Mean and Covariance Kevin A. Lai Anup B. Rao Santosh Vempala 52 344 0 24 Apr 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 61 510 0 21 Apr 2016
The Teaching Dimension of Linear Learners Ji Liu Xiaojin Zhu 32 65 0 07 Dec 2015
Robust Regression via Hard Thresholding Kush S. Bhatia Prateek Jain Purushottam Kar AAML OOD 40 156 0 08 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 158 18,922 0 20 Dec 2014
The Statistics of Streaming Sparse Regression Jacob Steinhardt Stefan Wager Percy Liang 143 10 0 13 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 159 14,831 1 21 Dec 2013
Robust High Dimensional Sparse Regression and Matching Pursuit Yudong Chen Constantine Caramanis Shie Mannor 58 20 0 12 Jan 2013
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 80 1,580 0 27 Jun 2012
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 89 156 0 02 Dec 2011
Exact recoverability from dense corrupted observations via $L_1$ minimization Nam H. Nguyen T. Tran 69 117 0 07 Feb 2011