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
One Neuron to Fool Them All
Authors: Anshuman Suri, David Evans | Published: 2020-03-20 | Updated: 2020-06-09
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Authors: Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane Boning, Cho-Jui Hsieh | Published: 2020-03-19 | Updated: 2021-07-14