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Found 5 papers, 0 papers with code
An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems
Multi-objective evolutionary algorithms (MOEAs) are widely used for searching optimal solutions in complex multi-component applications.
BadSFL: Backdoor Attack against Scaffold Federated Learning
Federated learning (FL) enables the training of deep learning models on distributed clients to preserve data privacy.
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition
Physical adversarial patches have emerged as a key adversarial attack to cause misclassification of traffic sign recognition (TSR) systems in the real world.
Computation and Data Efficient Backdoor Attacks
To address such limitations, we propose a novel confidence-based scoring methodology, which can efficiently measure the contribution of each poisoning sample based on the distance posteriors.
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving
However, DNN models are vulnerable to different types of adversarial attacks, which pose significant risks to the security and safety of the vehicles and passengers.
