Privacy-Preserving Deep Learning via Weight Transmission
Authors: Le Trieu Phong, Tran Thi Phuong | Published: 2018-09-10 | Updated: 2019-02-12
文献データベース
Certified Adversarial Robustness with Additive Noise
Authors: Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin | Published: 2018-09-10 | Updated: 2019-11-10
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure
Authors: Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody | Published: 2018-09-09 | Updated: 2018-11-06
Towards Query Efficient Black-box Attacks: An Input-free Perspective
Authors: Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao | Published: 2018-09-09
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples
Authors: Dan Peng, Zizhan Zheng, Xiaofeng Zhang | Published: 2018-09-08 | Updated: 2018-12-22
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense
Authors: Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki | Published: 2018-09-07
Are adversarial examples inevitable?
Authors: Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein | Published: 2018-09-06 | Updated: 2020-02-03
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
Authors: Zilong Lin, Yong Shi, Zhi Xue | Published: 2018-09-06 | Updated: 2022-05-08
Adversarial Reprogramming of Text Classification Neural Networks
Authors: Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar | Published: 2018-09-06 | Updated: 2019-08-15
Bridging machine learning and cryptography in defence against adversarial attacks
Authors: Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy | Published: 2018-09-05