Sequential Attacks on Agents for Long-Term Adversarial Goals
Authors: Edgar Tretschk, Seong Joon Oh, Mario Fritz | Published: 2018-05-31 | Updated: 2018-07-05
モデルの頑健性保証
Adversarial Noise Attacks of Deep Learning Architectures — Stability Analysis via Sparse Modeled Signals
Authors: Yaniv Romano, Aviad Aberdam, Jeremias Sulam, Michael Elad | Published: 2018-05-29 | Updated: 2019-08-05
Detecting Deceptive Reviews using Generative Adversarial Networks
Authors: Hojjat Aghakhani, Aravind Machiry, Shirin Nilizadeh, Christopher Kruegel, Giovanni Vigna | Published: 2018-05-25
Adversarial Attacks on Neural Networks for Graph Data
Authors: Daniel Zügner, Amir Akbarnejad, Stephan Günnemann | Published: 2018-05-21 | Updated: 2021-12-09
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference
Authors: Ruying Bao, Sihang Liang, Qingcan Wang | Published: 2018-05-21 | Updated: 2018-09-29
Targeted Adversarial Examples for Black Box Audio Systems
Authors: Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri | Published: 2018-05-20 | Updated: 2019-08-20
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Authors: Pouya Samangouei, Maya Kabkab, Rama Chellappa | Published: 2018-05-17 | Updated: 2018-05-18
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing
Authors: Jingyi Wang, Jun Sun, Peixin Zhang, Xinyu Wang | Published: 2018-05-14 | Updated: 2018-05-17
How Robust are Deep Neural Networks?
Authors: Biswa Sengupta, Karl J. Friston | Published: 2018-04-30
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers
Authors: Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach | Published: 2018-04-23 | Updated: 2020-10-03