Unsupervised Detection of Adversarial Examples with Model Explanations
Authors: Gihyuk Ko, Gyumin Lim | Published: 2021-07-22
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Generative Models for Security: Attacks, Defenses, and Opportunities
Authors: Luke A. Bauer, Vincent Bindschaedler | Published: 2021-07-21 | Updated: 2021-07-29
Secure Random Sampling in Differential Privacy
Authors: Naoise Holohan, Stefano Braghin | Published: 2021-07-21 | Updated: 2021-11-24
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Authors: Shuyu Cheng, Guoqiang Wu, Jun Zhu | Published: 2021-07-21 | Updated: 2021-11-07
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production
Authors: Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi | Published: 2021-07-20 | Updated: 2021-11-04
Machine Learning Enhanced Blockchain Consensus with Transaction Prioritization for Smart Cities
Authors: S. Valli Sanghami, John J. Lee, Qin Hu | Published: 2021-07-20
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
Authors: Takayuki Miura, Satoshi Hasegawa, Toshiki Shibahara | Published: 2021-07-19
Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach
Authors: Monik Raj Behera, Sudhir Upadhyay, Suresh Shetty | Published: 2021-07-19 | Updated: 2022-03-26
Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks
Authors: Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Rainer Leupers | Published: 2021-07-19
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms
Authors: Haemin Lee, Joongheon Kim | Published: 2021-07-19