Publications

"Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months." ACM Conference on Computer and Communications Security (CCS). 2024. To appear.

"Harmful Bias: A General Label-Leakage Attack on Federated Learning from Bias Gradients." ACM Workshop on Artificial Intelligence and Security (AISec). 2024. To appear.

"Accessorize in the Dark: A Security Analysis of Near-Infrared Face Recognition." European Symposium on Research in Computer Security (ESORICS). 2023.

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"Property-Driven Evaluation of RL-Controllers in Self-Driving Datacenters." Workshop on Challenges in Deploying and monitoring Machine Learning Systems (DMML@NeurIPS). 2022.

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"Scalable Verification of GNN-based Job Schedulers." International Conference on Object-Oriented Programming, Systems, Languages & Applications (OOPSLA). 2022.

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"On the Suitability of $L_p$-norms for Creating and Preventing Adversarial Examples." The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CVPRW). 2018.

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"Self-Confidence Trumps Knowledge: A Cross-Cultural Study of Security Behavior." ACM Conference on Human Factors in Computing Systems (CHI). 2017. Equal contribution by the first two authors.

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