Our papers “Sample-Grained Approximate Unlearning with Provable Per-Sample Bounds”, “Machine Unlearning in Low-Dimensional Feature Subspace”, and “DIBench: Benchmarking Decision Integrity of GUI-based Mobile Agents Under Deceptive Injections” are accepted by NeurIPS 2026. Congratulations to Yaxin, Kun, and Li!
Our papers “LG-DCD: Evolution-Aware Local Differential Privacy for Dynamic Community Detection over Graphs”, “Feature Attribution in Directed Acyclic Graphs Using Edge Intervention”, “DaDaDa: A Dataset for Data Pricing in Data Marketplaces” and “Parallel Oblivious Acyclic Joins for TEE-based Encrypted Databases” are accepted by IEEE International Conference on Data Engineering (ICDE), 2027. Congratulations to Xinyue, Qiheng,…