MetaPoison: Practical General-purpose Clean-label Data Poisoning

Authors: W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein | Published: 2020-04-01 | Updated: 2021-02-21

Information Leakage in Embedding Models

Authors: Congzheng Song, Ananth Raghunathan | Published: 2020-03-31 | Updated: 2020-08-19

Differentially Private Naive Bayes Classifier using Smooth Sensitivity

Authors: Farzad Zafarani, Chris Clifton | Published: 2020-03-31 | Updated: 2021-07-19

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning

Authors: Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla | Published: 2020-03-28 | Updated: 2020-08-19

Adaptive Reward-Poisoning Attacks against Reinforcement Learning

Authors: Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu | Published: 2020-03-27 | Updated: 2020-06-22

A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks

Authors: Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta | Published: 2020-03-26 | Updated: 2021-12-13

Adversarial Perturbations Fool Deepfake Detectors

Authors: Apurva Gandhi, Shomik Jain | Published: 2020-03-24 | Updated: 2020-05-15

Systematic Evaluation of Privacy Risks of Machine Learning Models

Authors: Liwei Song, Prateek Mittal | Published: 2020-03-24 | Updated: 2020-12-09

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

Authors: Claude Rosin Ngueveu, Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Claude Rosin | Published: 2020-03-23 | Updated: 2020-10-08

FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture

Authors: Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang | Published: 2020-03-20 | Updated: 2021-04-12