Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Authors: Wieland Brendel, Jonas Rauber, Matthias Bethge | Published: 2017-12-12 | Updated: 2018-02-16
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Feature Extraction and Feature Selection: Reducing Data Complexity with Apache Spark
Authors: Dimitrios Sisiaridis, Olivier Markowitch | Published: 2017-12-11
Improving Malware Detection Accuracy by Extracting Icon Information
Authors: Pedro Silva, Sepehr Akhavan-Masouleh, Li Li | Published: 2017-12-10
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Authors: Battista Biggio, Fabio Roli | Published: 2017-12-08 | Updated: 2018-07-19
CycleGAN, a Master of Steganography
Authors: Casey Chu, Andrey Zhmoginov, Mark Sandler | Published: 2017-12-08 | Updated: 2017-12-16
Generative Adversarial Perturbations
Authors: Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge Belongie | Published: 2017-12-06 | Updated: 2018-07-06
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Authors: Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li | Published: 2017-12-04 | Updated: 2021-10-17
Improving Network Robustness against Adversarial Attacks with Compact Convolution
Authors: Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo, Rama Chellappa | Published: 2017-12-03 | Updated: 2018-03-22
Where Classification Fails, Interpretation Rises
Authors: Chanh Nguyen, Georgi Georgiev, Yujie Ji, Ting Wang | Published: 2017-12-02
Together or Alone: The Price of Privacy in Collaborative Learning
Authors: Balazs Pejo, Qiang Tang, Gergely Biczok | Published: 2017-12-01 | Updated: 2018-08-24