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Found 5 papers, 4 papers with code
Zero Shot Open-ended Video Inference
Zero-shot open-ended inference on untrimmed videos poses a significant challenge, especially when no annotated data is utilized to navigate the inference direction.
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
In this work, we introduce a fast, general and accurate adversarial attack that optimises the original non-convex constrained minimisation problem.
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy
Adversarial robustness has become a central goal in deep learning, both in the theory and the practice.
Improved Network Robustness with Adversary Critic
Our main idea is: adversarial examples for the robust classifier should be indistinguishable from the regular data of the adversarial target.
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
An adversarial example library for constructing attacks, building defenses, and benchmarking both
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