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Markpainting: Adversarial Machine Learning meets Inpainting.

, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5409-5419. PMLR, (2021)

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Markpainting: Adversarial Machine Learning meets Inpainting., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5409-5419. PMLR, (2021)Turning Up the Dial: the Evolution of a Cybercrime Market Through Set-up, Stable, and Covid-19 Eras., , , , , , and . Internet Measurement Conference, page 551-566. ACM, (2020)Measuring memorization in RLHF for code completion., , , and . CoRR, (2024)Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD., , , , and . USENIX Security Symposium, USENIX Association, (2024)AI models collapse when trained on recursively generated data., , , , , and . Nat., 631 (8022): 755-759 (July 2024)UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI., , , , , , , , and . CoRR, (2024)On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning., , , and . USENIX Security Symposium, page 4007-4022. USENIX Association, (2022)When the Curious Abandon Honesty: Federated Learning Is Not Private., , , , , and . EuroS&P, page 175-199. IEEE, (2023)Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7102-7121. PMLR, (2022)Manipulating SGD with Data Ordering Attacks., , , , , , and . NeurIPS, page 18021-18032. (2021)