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Published in 39th Annual International Cryptology Conference (CRYPTO), 2019
We proposed a Data-Independent Memory Hard Functions and showed that it provides the best resistance to known pebbling attacks
Recommended citation: Blocki, J., Harsha, B., Kang, S., Lee, S., Xing, L., & Zhou, S. (2019, August). Data-independent memory hard functions: New attacks and stronger constructions. In Annual International Cryptology Conference (pp. 573-607). Cham: Springer International Publishing. https://eprint.iacr.org/2018/944.pdf
Published in 40th International Conference on Machine Learning (ICML), 2023
We proposed a data poisoning attack on generative models in the context of replay based continual learning.
Recommended citation: Kang, S., Shi, Z., & Zhang, X. (2023, July). Poisoning generative replay in continual learning to promote forgetting. In International Conference on Machine Learning (pp. 15769-15785). PMLR. https://proceedings.mlr.press/v202/kang23c/kang23c.pdf
Published in 40th Conference on Uncertainty in Artificial Intelligence (UAI), 2024
We proposed a data poisoning attack on offline to online reinforcement learning to stealthily promote distribution shift.
Recommended citation: Yu, Z.*, Kang, S.*, & Zhang, X. (*equal contribution). (2024, July). Offline Reward Perturbation Boosts Distributional Shift in Online RL. In The 40th Conference on Uncertainty in Artificial Intelligence. https://openreview.net/pdf?id=wbwTF909Ve
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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