Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Authors: Partha Ghosh, Arpan Losalka, Michael J Black | Published: 2018-05-31 | Updated: 2018-12-10
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations
Authors: Taesung Lee, Benjamin Edwards, Ian Molloy, Dong Su | Published: 2018-05-31 | Updated: 2018-12-13
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
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Authors: Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan | Published: 2018-05-31
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Authors: Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg | Published: 2018-05-30
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
Authors: Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2018-05-30
Android Malware Detection based on Factorization Machine
Authors: Chenglin Li, Keith Mills, Rui Zhu, Di Niu, Hongwen Zhang, Husam Kinawi | Published: 2018-05-30 | Updated: 2019-08-13
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
Authors: Chun-Chen Tu, Paishun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng | Published: 2018-05-30 | Updated: 2020-01-31
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
FairGAN: Fairness-aware Generative Adversarial Networks
Authors: Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu | Published: 2018-05-28