Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis
Authors: Ramtine Tofighi-Shirazi, Irina Asăvoae, Philippe Elbaz-Vincent, Thanh-Ha Le | Published: 2019-09-04
モデル評価手法
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning
Authors: Shahbaz Rezaei, Xin Liu | Published: 2019-04-08 | Updated: 2020-01-29
A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks — Prevention and Prediction for Combating Terrorism
Authors: Vivek Kumar, Manuel Mazzara, Maj. Gen., Angelo Messina, JooYoung Lee | Published: 2019-01-19 | Updated: 2019-02-21
Data mining for detecting Bitcoin Ponzi schemes
Authors: Massimo Bartoletti, Barbara Pes, Sergio Serusi | Published: 2018-03-01
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain
Authors: A. Besir Kurtulmus, Kenny Daniel | Published: 2018-02-27
Understanding and Enhancing the Transferability of Adversarial Examples
Authors: Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E | Published: 2018-02-27
Dynamic Analysis of Executables to Detect and Characterize Malware
Authors: Michael R. Smith, Joe B. Ingram, Christopher C. Lamb, Timothy J. Draelos, Justin E. Doak, James B. Aimone, Conrad D. James | Published: 2017-11-10 | Updated: 2018-09-28
Elliptical modeling and pattern analysis for perturbation models and classfication
Authors: Shan Suthaharan, Weining Shen | Published: 2017-10-22
A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity
Authors: Aixiang Chen, Bingchuan Chen, Xiaolong Chai, Rui Bian, Hengguang Li | Published: 2017-10-21 | Updated: 2017-12-03
Solving the “false positives” problem in fraud prediction
Authors: Roy Wedge, James Max Kanter, Santiago Moral Rubio, Sergio Iglesias Perez, Kalyan Veeramachaneni | Published: 2017-10-20