Thwarting finite difference adversarial attacks with output randomization
Authors: Haidar Khan, Daniel Park, Azer Khan, Bülent Yener | Published: 2019-05-23
モデル性能評価
Adversarially Robust Distillation
Authors: Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein | Published: 2019-05-23 | Updated: 2019-12-02
A framework for the extraction of Deep Neural Networks by leveraging public data
Authors: Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade, Vinod Ganapathy | Published: 2019-05-22
Adversarial Defense Through Network Profiling Based Path Extraction
Authors: Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu | Published: 2019-04-17 | Updated: 2019-05-09
An Adversarial Approach for Explainable AI in Intrusion Detection Systems
Authors: Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic | Published: 2018-11-28
Robust Classification of Financial Risk
Authors: Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer | Published: 2018-11-27
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
Authors: Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu | Published: 2018-11-27 | Updated: 2019-09-15
Distributed and Secure ML with Self-tallying Multi-party Aggregation
Authors: Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl Gunter | Published: 2018-11-26
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Authors: Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei | Published: 2018-11-25
Prediction of Signal Sequences in Abiotic Stress Inducible Genes from Main Crops by Association Rule Mining
Authors: Un-Hyang Ho, Hye-Ok Kong | Published: 2018-11-18