Results 211 to 220 of about 4,795 (257)
HelixCross - Design and development of an AI-powered cross-examination simulation for forensic expert testimony training. [PDF]
Barash M, Budowle B.
europepmc +1 more source
From Simulation to Healthcare: KINAITICS' AI Framework for Cyber-Physical Security. [PDF]
Marcheschi P, Pisani M, Dalmiani S.
europepmc +1 more source
Self-healing neural networks via modular patch layers for diverse structural and adversarial damages. [PDF]
Santhosh Reddy B +5 more
europepmc +1 more source
Attentional semantic attack for enhancing adversarial samples transferability. [PDF]
Wang P, Liu J.
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Early Detection of Spoofing Threats and Network Resilience Prediction in Drones Based on GRU and LSTM. [PDF]
Oh C, Youn J, Ryu W, Kim K.
europepmc +1 more source
AgroPatch AutoStrike for adversarial patch attacks on plant disease detection models. [PDF]
Wu Y +9 more
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Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning [PDF]
Accepted by International Journal of Computer Vision (IJCV) 2022. Code will be available at https://github.com/rshaojimmy/ECCV2020-OSAD.
Vishal M Patel, Pong C Yuen, Rui Shao
exaly +5 more sources
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Adversarial Attacks and Defenses on Graphs
ACM SIGKDD Explorations Newsletter, 2021Deep neural networks (DNNs) have achieved significant performance in various tasks. However, recent studies have shown that DNNs can be easily fooled by small perturbation on the input, called adversarial attacks.
Wei Jin 0009 +6 more
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