Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Authors: Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison Cottrell, Geoffrey Hinton | Published: 2019-07-05 | Updated: 2020-02-18
敵対的サンプル
Adversarial Robustness via Label-Smoothing
Authors: Morgane Goibert, Elvis Dohmatob | Published: 2019-06-27 | Updated: 2019-10-15
Adversarial Examples to Fool Iris Recognition Systems
Authors: Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-06-21 | Updated: 2019-07-18
Convergence of Adversarial Training in Overparametrized Neural Networks
Authors: Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee | Published: 2019-06-19 | Updated: 2019-11-09
Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary
Authors: Shashank Kotyan, Danilo Vasconcellos Vargas | Published: 2019-06-14 | Updated: 2020-07-16
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness
Authors: Walt Woods, Jack Chen, Christof Teuscher | Published: 2019-06-07 | Updated: 2019-08-06
DAWN: Dynamic Adversarial Watermarking of Neural Networks
Authors: Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan | Published: 2019-06-03 | Updated: 2021-07-16
IoT Network Security from the Perspective of Adversarial Deep Learning
Authors: Yalin E. Sagduyu, Yi Shi, Tugba Erpek | Published: 2019-05-31
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
Authors: Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha | Published: 2019-05-29
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Authors: Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang | Published: 2019-05-28