Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Authors: Hossein Hosseini, Sreeram Kannan, Radha Poovendran | Published: 2019-07-28
攻撃の分類
Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-learning based Defense Framework
Authors: Trung V. Phan, T M Rayhan Gias, Syed Tasnimul Islam, Truong Thu Huong, Nguyen Huu Thanh, Thomas Bauschert | Published: 2019-07-27 | Updated: 2019-09-03
An Investigation of Data Poisoning Defenses for Online Learning
Authors: Yizhen Wang, Somesh Jha, Kamalika Chaudhuri | Published: 2019-05-28 | Updated: 2020-02-19
Snooping Attacks on Deep Reinforcement Learning
Authors: Matthew Inkawhich, Yiran Chen, Hai Li | Published: 2019-05-28 | Updated: 2020-01-15
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Authors: Lei Bu, Yuchao Duan, Fu Song, Zhe Zhao | Published: 2019-05-19 | Updated: 2020-04-26
Applications of Machine Learning in Cryptography: A Survey
Authors: Mohammed M. Alani | Published: 2019-02-11
Securing Majority-Attack In Blockchain Using Machine Learning And Algorithmic Game Theory: A Proof of Work
Authors: Somdip Dey | Published: 2018-06-14
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus
Authors: William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas | Published: 2018-06-12
An Efficient Flow-based Multi-level Hybrid Intrusion Detection System for Software-Defined Networks
Authors: Majd Latah, Levent Toker | Published: 2018-06-11