Adversarial machine learning

Attacks on Machine Learning: Adversarial Examples in Connected and Autonomous Vehicles

Prinkle Sharma, David Austin, Hong Liu

Citations: 63 • 2019

Increasing the Confidence of Deep Neural Networks by Coverage Analysis

Giulio Rossolini, Alessandro Biondi, Giorgio Buttazzo

Citations: 25 • 2022

Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning

Chao-Han Huck Yang, Jun Qi, Pin‐Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin‐Hui Lee, Xiaoli Ma

Citations: 25 • 2020

Adversarial Attacks on Monocular Depth Estimation

Ziqi Zhang, Xinge Zhu, Yingwei Li, Xiangqun Chen, Yao Guo

Citations: 14 • 2020

Monocular Depth Estimators: Vulnerabilities and Attacks

Alwyn Mathew, Aditya Prakash Patra, Jimson Mathew

Citations: 7 • 2020

Instance-based defense against adversarial attacks in Deep Reinforcement Learning

Javier García, Ismael Sagredo-Olivenza

Citations: 6 • 2021

Machine Learning in the Hands of a Malicious Adversary: A Near Future If Not Reality¹

Keywhan Chung, Xiao Li, Peicheng Tang, Zeran Zhu, Zbigniew Kalbarczyk, Thenkurussi Kesavadas, Ravishankar K. Iyer

Citations: 5 • 2021

The Role of Machine Learning and Artificial Intelligence in Detecting the Malicious Use of Cyber Space

Panem Charanarur, Srinivasa Rao Gundu, J. Vijaylaxmi

Citations: 4 • 2023