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Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.

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Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack

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RAB: Provable Robustness Against Backdoor Attacks

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[CCS 2021] TSS: Transformation-specific smoothing for robustness certification

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[CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?

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[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

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code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.

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A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]

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[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Car...

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