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12/29/2022
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Recent years have seen a proliferation of research on adversarial machin...
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02/12/2021
Universal Adversarial Perturbations for Malware
Machine learning classification models are vulnerable to adversarial exa...
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10/19/2020
Dos and Don'ts of Machine Learning in Computer Security
With the growing processing power of computing systems and the increasin...
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10/08/2020
Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation
Machine learning for malware classification shows encouraging results, b...
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11/05/2019
Intriguing Properties of Adversarial ML Attacks in the Problem Space
Recent research efforts on adversarial ML have investigated problem-spac...
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07/20/2018