Deflecting Adversarial Attacks
Authors: Yao Qin, Nicholas Frosst, Colin Raffel, Garrison Cottrell, Geoffrey Hinton | Published: 2020-02-18
On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks
Authors: Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe | Published: 2020-02-18
TensorShield: Tensor-based Defense Against Adversarial Attacks on Images
Authors: Negin Entezari, Evangelos E. Papalexakis | Published: 2020-02-18
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
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
Authors: Ziwei Guan, Kaiyi Ji, Donald J Bucci Jr, Timothy Y Hu, Joseph Palombo, Michael Liston, Yingbin Liang | 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
Data and Model Dependencies of Membership Inference Attack
Authors: Shakila Mahjabin Tonni, Dinusha Vatsalan, Farhad Farokhi, Dali Kaafar, Zhigang Lu, Gioacchino Tangari | Published: 2020-02-17 | Updated: 2020-07-25
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
Authors: Patrick von Platen, Fei Tao, Gokhan Tur | Published: 2020-02-16
Federated Learning with Matched Averaging
Authors: Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni | Published: 2020-02-15
Undersensitivity in Neural Reading Comprehension
Authors: Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel | Published: 2020-02-15