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Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks.

, , , , , , , and . USENIX Security Symposium, page 321-338. USENIX Association, (2019)

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A Classification-Selection Approach for Self Updating of Face Verification Systems Under Stringent Storage and Computational Requirements., , , and . ICIAP (2), volume 9280 of Lecture Notes in Computer Science, page 540-550. Springer, (2015)Information fusion for computer security: State of the art and open issues., , , , and . Inf. Fusion, 10 (4): 274-284 (2009)Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware., , and . CoRR, (2022)Robustness analysis of likelihood ratio score fusion rule for multimodal biometric systems under spoof attacks., , , and . ICCST, page 1-8. IEEE, (2011)Evasion attacks against machine learning at test time, , , , , , , and . Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 387--402. Springer, (2013)On Security and Sparsity of Linear Classifiers for Adversarial Settings., , , , and . CoRR, (2017)Poisoning Behavioral Malware Clustering., , , , , , and . CoRR, (2018)Slope: A First-order Approach for Measuring Gradient Obfuscation., , , , and . ESANN, (2021)Semi-supervised Co-update of Multiple Matchers., , and . MCS, volume 5519 of Lecture Notes in Computer Science, page 152-160. Springer, (2009)Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks., , , , , , , and . USENIX Security Symposium, page 321-338. USENIX Association, (2019)