Title |
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 Game-Theoretic Machine Unlearning: Mitigating Extra Privacy LeakageIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024 |
 eCIL-MU: Embedding based Class Incremental Learning and Machine
UnlearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 |
 Blockchain-enabled Data Governance for Privacy-Preserved Sharing of
Confidential DataPeerJ Computer Science (PeerJ Comput. Sci.), 2023 |
 Towards Unbounded Machine UnlearningNeural Information Processing Systems (NeurIPS), 2023 |
 Algorithms that Approximate Data Removal: New Results and LimitationsNeural Information Processing Systems (NeurIPS), 2022 |
 Membership Inference via BackdooringInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 |
 Unlearning Protected User Attributes in Recommendations with Adversarial
TrainingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 |
 Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an
Incompetent TeacherAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 Zero-Shot Machine UnlearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 |
 On the Necessity of Auditable Algorithmic Definitions for Machine
UnlearningUSENIX Security Symposium (USENIX Security), 2021 |
 Certified Patch Robustness via Smoothed Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2021 |
 Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 |
 Learn to Forget: Machine Unlearning via Neuron MaskingIEEE Transactions on Dependable and Secure Computing (TDSC), 2020 |
 Machine UnlearningIEEE Symposium on Security and Privacy (IEEE S&P), 2019 |
 Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep
NetworksComputer Vision and Pattern Recognition (CVPR), 2019 |
 Federated Learning with Differential Privacy: Algorithms and Performance
AnalysisIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019 |
 Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016 |
 Towards Evaluating the Robustness of Neural NetworksIEEE Symposium on Security and Privacy (IEEE S&P), 2016 |
 Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014 |
 Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014 |
 Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 |
 Intriguing properties of neural networksInternational Conference on Learning Representations (ICLR), 2013 |
