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!
Three Papers Accepted by NeurIPS 2026
