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Yuan Hong

Illinois Institute of Technology, IL, United States

Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective

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Jun 16, 2025
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Backdoor Attacks on Discrete Graph Diffusion Models

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Mar 08, 2025
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GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation

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Dec 18, 2024
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Learning Robust and Privacy-Preserving Representations via Information Theory

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Dec 15, 2024
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Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective

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Aug 22, 2024
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Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence

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Jul 24, 2024
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An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection

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Jun 10, 2024
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LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models

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May 29, 2024
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Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness

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May 25, 2024
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On the Faithfulness of Vision Transformer Explanations

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Apr 01, 2024
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