Adversarial Attack Detection
14 papers with code • 0 benchmarks • 0 datasets
The detection of adversarial attacks.
Benchmarks
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Most implemented papers
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
adverml/multilid
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Convolutional neural networks (CNN) define the state-of-the-art solution on many perceptual tasks.
Graph-based methods coupled with specific distributional distances for adversarial attack detection
dwightnw/graph_based_methods_for_adversarial_attack
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We introduce a novel approach of detection and interpretation of adversarial attacks from a graph perspective.
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples
ryuryukke/OUTFOX
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Experiments in the domain of student essays show that the proposed detector improves the detection performance on the attacker-generated texts by up to +41. 3 points F1-score.
