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BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements.

, , , , , , , и . ACSAC, стр. 554-569. ACM, (2021)

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Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Chen-Loung Chen

 

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RelaxLoss: Defending Membership Inference Attacks without Losing Utility., , и . ICLR, OpenReview.net, (2022)Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders., , , , , , и . ECAI, том 392 из Frontiers in Artificial Intelligence and Applications, стр. 3947-3955. IOS Press, (2024)Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy., , , и . CoRR, (2023)A Unified View of Differentially Private Deep Generative Modeling., , и . Trans. Mach. Learn. Res., (2024)GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs., , , и . CoRR, (2019)GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators., , и . NeurIPS, (2020)Towards privacy-preserving machine learning: generative modeling and discriminative analysis.. Saarland University, Saarbrücken, Germany, (2023)MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime., , и . DAGM, том 14264 из Lecture Notes in Computer Science, стр. 524-537. Springer, (2023)FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations., , , и . Proc. Priv. Enhancing Technol., 2024 (3): 372-390 (2024)PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics., , , , , , и . NAACL-HLT (Findings), стр. 4737-4751. Association for Computational Linguistics, (2024)