Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
Authors: Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen | Published: 2020-02-11 | Updated: 2020-08-04
敵対的攻撃
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Authors: Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti | Published: 2020-02-11 | Updated: 2020-06-24
Adversarial Attacks on Linear Contextual Bandits
Authors: Evrard Garcelon, Baptiste Roziere, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta | Published: 2020-02-10 | Updated: 2020-10-23
Adversarial Data Encryption
Authors: Yingdong Hu, Liang Zhang, Wei Shan, Xiaoxiao Qin, Jing Qi, Zhenzhou Wu, Yang Yuan | Published: 2020-02-10 | Updated: 2020-02-11
Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals
Authors: Yunhan Huang, Quanyan Zhu | Published: 2020-02-07 | Updated: 2020-07-20
On the Resilience of Biometric Authentication Systems against Random Inputs
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kaafar | Published: 2020-01-13 | Updated: 2020-01-24
Membership Inference Attacks Against Object Detection Models
Authors: Yeachan Park, Myungjoo Kang | Published: 2020-01-12 | Updated: 2020-01-28
Fast is better than free: Revisiting adversarial training
Authors: Eric Wong, Leslie Rice, J. Zico Kolter | Published: 2020-01-12
Attack Agnostic Statistical Method for Adversarial Detection
Authors: Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas Kruthiventi, Harikrishna Muralidhara | Published: 2019-11-22
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
Authors: Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei | Published: 2019-11-10 | Updated: 2020-10-29