Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Authors: Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh | Published: 2018-07-12
Differentially-Private “Draw and Discard” Machine Learning
Authors: Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng | Published: 2018-07-11 | Updated: 2018-10-10
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Authors: Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin | Published: 2018-07-10 | Updated: 2018-10-27
A Practical Approach to the Automatic Classification of Security-Relevant Commits
Authors: Antonino Sabetta, Michele Bezzi | Published: 2018-07-06
Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness
Authors: Priyadarshini Panda, Kaushik Roy | Published: 2018-07-05 | Updated: 2019-05-31
Blockchain as a Service: A Decentralized and Secure Computing Paradigm
Authors: Gihan J. Mendis, Yifu Wu, Jin Wei, Moein Sabounchi, Rigoberto Roche' | Published: 2018-07-05 | Updated: 2019-09-04
Privacy-preserving Machine Learning through Data Obfuscation
Authors: Tianwei Zhang, Zecheng He, Ruby B. Lee | Published: 2018-07-05 | Updated: 2018-07-13
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Authors: Tugba Erpek, Yalin E. Sagduyu, Yi Shi | Published: 2018-07-03 | Updated: 2018-12-13
Efficient ConvNets for Analog Arrays
Authors: Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch | Published: 2018-07-03
Adversarial Robustness Toolbox v1.0.0
Authors: Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran, Beat Buesser, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Ian M. Molloy, Ben Edwards | Published: 2018-07-03 | Updated: 2019-11-15