Three Papers Accepted by ICML‘26

Our papers “Differentially Private Cross-Silo Recommendation from Implicit Feedback”, “Unlearning Isn’t Deletion: Investigating Reversibility of Machine Unlearning in LLMs”, and “On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression”, are accepted by International Conference on Machine Learning (ICML 2026). Congratulations to Xun, Xiaoyu and Xinwei!

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Two Papers Accepted by ACL‘26

Our papers “From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning” and “AudioStealer: Extracting Audio Prompts via Shapley Value-Guided Query Search” are accepted by Findings of the Association for Computational Linguistics (ACL). Congratulations to Xiaoyu and Yingbin!

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Two Papers Accepted by KDD 2026

Our papers “‘Adversarial Signed Graph Learning with Differential Privacy” and “Communication-efficient Federated Graph Classification via Generative Diffusion Modeling” are accepted by SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Congratulations to Haobin and Xiuling!

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