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Found 6 papers, 0 papers with code
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis
Recent studies reveal that Autonomous Vehicles (AVs) can be manipulated by hidden backdoors, causing them to perform harmful actions when activated by physical triggers.
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
Based on our theoretical analysis and experimental results, we demonstrate the effectiveness of PiDAn in defending against backdoor attacks that use different settings of poisoned samples on GTSRB and ILSVRC2012 datasets.
Short-Term Traffic Forecasting Using High-Resolution Traffic Data
The formulation allows us to capture both nonlinear dependencies between forecasting inputs and outputs but also allows us to capture dependencies among the inputs.
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems
We develop a trigger design methodology that is based on well-established principles of traffic physics.
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
This paper addresses the problem of short-term traffic prediction for signalized traffic operations management.
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control
Based on the distributed monitoring system, a two-level monitoring strategy is proposed to check different influences on process characteristics resulting from changes of the operating conditions and control action, and thus the two changes can be well distinguished from each other.
