Detecting Adversarial Examples via Key-based Network
Authors: Pinlong Zhao, Zhouyu Fu, Ou wu, Qinghua Hu, Jun Wang | Published: 2018-06-02
透かし評価
Tokenized Data Markets
Authors: Bharath Ramsundar, Roger Chen, Alok Vasudev, Rob Robbins, Artur Gorokh | Published: 2018-05-31
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
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
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