On the Connection Between Adversarial Robustness and Saliency Map Interpretability
Authors: Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb | Published: 2019-05-10
Adversarial Defense Framework for Graph Neural Network
Authors: Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu | Published: 2019-05-09 | Updated: 2019-05-10
Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Authors: Di Zhao, Jiqiang Liu, Jialin Wang, Wenjia Niu, Endong Tong, Tong Chen, Gang Li | Published: 2019-05-09
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems
Authors: Kazuya Kakizaki, Kosuke Yoshida | Published: 2019-05-09 | Updated: 2020-01-28
Reconstruction of Privacy-Sensitive Data from Protected Templates
Authors: Shideh Rezaeifar, Behrooz Razeghi, Olga Taran, Taras Holotyak, Slava Voloshynovskiy | Published: 2019-05-08
Adaptive Generation of Unrestricted Adversarial Inputs
Authors: Isaac Dunn, Hadrien Pouget, Tom Melham, Daniel Kroening | Published: 2019-05-07 | Updated: 2019-10-01
Machine Learning Cryptanalysis of a Quantum Random Number Generator
Authors: Nhan Duy Truong, Jing Yan Haw, Syed Muhamad Assad, Ping Koy Lam, Omid Kavehei | Published: 2019-05-07 | Updated: 2019-05-13
Adversarial Examples Are Not Bugs, They Are Features
Authors: Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry | Published: 2019-05-06 | Updated: 2019-08-12
Cognitive Triaging of Phishing Attacks
Authors: Amber van der Heijden, Luca Allodi | Published: 2019-05-06 | Updated: 2019-05-29
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain
Authors: Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya | Published: 2019-05-06