Evading classifiers in discrete domains with provable optimality guarantees
Authors: Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso | Published: 2018-10-25 | Updated: 2019-07-01
Literature Database
Law and Adversarial Machine Learning
Authors: Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salome Vilojen | Published: 2018-10-25 | Updated: 2018-12-05
Robust Adversarial Learning via Sparsifying Front Ends
Authors: Soorya Gopalakrishnan, Zhinus Marzi, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-10-24 | Updated: 2021-05-25
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments
Authors: Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka | Published: 2018-10-23
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Authors: Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas Spanos | Published: 2018-10-23
Sparse DNNs with Improved Adversarial Robustness
Authors: Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen | Published: 2018-10-23 | Updated: 2019-11-06
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information
Authors: Lejla Batina, Shivam Bhasin, Dirmanto Jap, Stjepan Picek | Published: 2018-10-22
Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue
Authors: Zhongyi Hu, Raymond Chiong, Ilung Pranata, Yukun Bao, Yuqing Lin | Published: 2018-10-19
Exploring Adversarial Examples in Malware Detection
Authors: Octavian Suciu, Scott E. Coull, Jeffrey Johns | Published: 2018-10-18 | Updated: 2019-04-13
Private Machine Learning in TensorFlow using Secure Computation
Authors: Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma | Published: 2018-10-18 | Updated: 2018-10-23