Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense
Authors: Guanlin Liu, Lifeng lai | Published: 2020-02-19 | Updated: 2020-02-21
ロバスト性評価
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
Authors: Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning | Published: 2020-02-17
Scalable Quantitative Verification For Deep Neural Networks
Authors: Teodora Baluta, Zheng Leong Chua, Kuldeep S. Meel, Prateek Saxena | Published: 2020-02-17 | Updated: 2021-03-23
Adversarial Distributional Training for Robust Deep Learning
Authors: Yinpeng Dong, Zhijie Deng, Tianyu Pang, Hang Su, Jun Zhu | Published: 2020-02-14 | Updated: 2020-11-19
CEB Improves Model Robustness
Authors: Ian Fischer, Alexander A. Alemi | Published: 2020-02-13
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Authors: Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi | Published: 2020-02-11 | Updated: 2020-08-15
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
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 Robustness through Local Linearization
Authors: Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli | Published: 2019-07-04 | Updated: 2019-10-10