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Found 4 papers, 0 papers with code
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information
Image super-resolution (SR) is a technique to recover lost high-frequency information in low-resolution (LR) images.
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving
We then design a spatial-temporal Trojan attack on DRL policies, where the trigger is hidden in a sequence of spatial and temporal traffic features, rather than a single instant state used in existing Trojan on SL and DRL tasks.
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning
Deep reinforcement learning (DRL) has made significant achievements in many real-world applications.
TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems
Trigger-action programming (TAP) is a popular end-user programming framework that can simplify the Internet of Things (IoT) automation with simple trigger-action rules.
Cryptography and Security Human-Computer Interaction Networking and Internet Architecture Software Engineering D.2.4; F.3.1; C.2.0
