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Found 3 papers, 1 papers with code
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
Our adaptive masking strategy samples visible tokens based on the semantic context using an auxiliary sampling network.
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Bait and Switch: Online Training Data Poisoning of Autonomous Driving Systems
We show that by controlling parts of a physical environment in which a pre-trained deep neural network (DNN) is being fine-tuned online, an adversary can launch subtle data poisoning attacks that degrade the performance of the system.
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy
The paper proposes an on-line monitoring framework for continuous real-time safety/security in learning-based control systems (specifically application to a unmanned ground vehicle).
