Official implementation for "Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments" (TPAMI 2025)

A toolbox for benchmarking Multimodal LLM Agents trustworthiness across truthfulness, controllability, safety and privacy dimensions through 34 interactive tasks

A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition, CVPR 2023, Highlight

A Self-Consistent Robust Error (ICML 2022)

Empirical tricks for training robust models (ICLR 2021)

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

An adversarial robustness evaluation library on face recognition.

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.