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
モデル性能評価
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
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives
Authors: Abhishek Divekar, Meet Parekh, Vaibhav Savla, Rudra Mishra, Mahesh Shirole | Published: 2018-11-13
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Authors: Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana | Published: 2018-11-06 | Updated: 2018-12-01
Exploring Connections Between Active Learning and Model Extraction
Authors: Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan | Published: 2018-11-05 | Updated: 2019-11-20