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SOCRATES: Towards a Unified Platform for Neural Network Analysis
2020 · arXiv (Cornell University)
Studies show that neural networks, not unlike traditional programs, are subject to bugs, e.g., adversarial samples that cause classification errors and discriminatory instances that demonstrate the lack of fairness. Given that neural networks are increasingly …
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Verifying Neural Networks Against Backdoor Attacks
2022 · Lecture notes in computer science
Abstract Neural networks have achieved state-of-the-art performance in solving many problems, including many applications in safety/security-critical systems. Researchers also discovered multiple security issues associated with neural networks. One of them is backdoor attacks, i.e., a …