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1608.04644
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Towards Evaluating the Robustness of Neural Networks
16 August 2016
Nicholas Carlini
D. Wagner
OOD
AAML
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Papers citing
"Towards Evaluating the Robustness of Neural Networks"
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Title
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Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations
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Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks
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Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
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101
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109
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Cross-Modal Safety Alignment: Is textual unlearning all you need?
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OSLO: One-Shot Label-Only Membership Inference Attacks
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Robust width: A lightweight and certifiable adversarial defense
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Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
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Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
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Interactive Simulations of Backdoors in Neural Networks
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