A Dynamic-Adversarial Mining Approach to the Security of Machine Learning
Authors: Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua, Jiashun Chen | Published: 2018-03-24
文献データベース
Datasheets for Datasets
Authors: Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford | Published: 2018-03-23 | Updated: 2021-12-01
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Authors: Daniel Jakubovitz, Raja Giryes | Published: 2018-03-23 | Updated: 2019-05-28
Robust Blind Deconvolution via Mirror Descent
Authors: Sathya N. Ravi, Ronak Mehta, Vikas Singh | Published: 2018-03-21
Adversarial Defense based on Structure-to-Signal Autoencoders
Authors: Joachim Folz, Sebastian Palacio, Joern Hees, Damian Borth, Andreas Dengel | Published: 2018-03-21
Resilient Monotone Sequential Maximization
Authors: Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas | Published: 2018-03-21 | Updated: 2020-12-16
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Authors: Octavian Suciu, Radu Mărginean, Yiğitcan Kaya, Hal Daumé III, Tudor Dumitraş | Published: 2018-03-19 | Updated: 2019-03-08
Towards an Efficient Anomaly-Based Intrusion Detection for Software-Defined Networks
Authors: Majd Latah, Levent Toker | Published: 2018-03-18 | Updated: 2018-08-19
Adversarial Logit Pairing
Authors: Harini Kannan, Alexey Kurakin, Ian Goodfellow | Published: 2018-03-16
Vulnerability of Deep Learning
Authors: Richard Kenway | Published: 2018-03-16