Towards Evaluating the Robustness of Neural Networks — mentioned by dijksterhuis

Mon, 08 Jan 2024 20:58:03 GMT

Decent write up :+1: Recommend reading on the topic - Biggio & Rolia "Wild Patterns" review paper for the thorough security perspective (and historical accuracy cough): https://arxiv.org/pdf/1712.03141.pdf - Carlini & Wagner attack a.k.a. the gold standard of adversarial machine learning research papers: https://arxiv.org/abs/1608.04644 - Carlini & Wagner speech-to-text attack (attacks can be re-used across multiple domains): https://arxiv.org/pdf/1801.01944.pdf - Barreno et al "Can Machine Learning Be Secure?" https://people.eecs.berkeley.edu/~tygar/papers/Machine_Learn... Some videos [0]…

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Towards Evaluating the Robustness of Neural Networks · HackerPapers discussions

Towards Evaluating the Robustness of Neural Networks — mentioned by dijksterhuis