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cs.LG2023★ 1 cited
Reinforcement Learning-Based Black-Box Model Inversion Attacks
Gyojin Han, Jaehyun Choi, Haeil Lee +1
Model inversion attacks are a type of privacy attack that reconstructs private data used to train a machine learning model, solely by accessing the model. Recently, white-box model…
cs.LG2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong +1
Generally, regularization-based continual learning models limit access to the previous task data to imitate the real-world constraints related to memory and privacy. However, this…