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USENIX NSDI ’24 Finding Adversarial Inputs for Heuristics using Multi-level Optimization
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USENIX NSDI ’24 Finding Adversarial Inputs for Heuristics using Multi-level Optimization


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Authors/Presenters:Pooria Namyar, Microsoft and University of Southern California; Behnaz Arzani and Ryan Beckett, Microsoft; Santiago Segarra, Micros…

First seen on securityboulevard.com

Jump to article: securityboulevard.com/2024/10/usenix-nsdi-24-finding-adversarial-inputs-for-heuristics-using-multi-level-optimization/

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