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2020 – today
- 2024
[j1]Hanbin Zhao
, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li:
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1576-1588 (2024)- [c9]Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li:
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. ICLR 2024 - [c8]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. ICML 2024 - [c7]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. ICML 2024 - [i10]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. CoRR abs/2402.03181 (2024) - [i9]Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li:
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. CoRR abs/2403.11348 (2024) - [i8]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. CoRR abs/2406.01960 (2024) - [i7]Mintong Kang, Bo Li:
R2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning. CoRR abs/2407.05557 (2024) - [i6]Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun:
EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage. CoRR abs/2409.11295 (2024) - 2023
- [c6]Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan L. Yuille, Zongwei Zhou:
Label-Assemble: Leveraging Multiple Datasets with Partial Labels. ISBI 2023: 1-5 - [c5]Mintong Kang, Dawn Song, Bo Li:
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification. NeurIPS 2023 - [c4]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 2023 - [c3]Mintong Kang, Linyi Li, Bo Li:
FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs. SaTML 2023: 575-592 - [i5]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR abs/2306.11698 (2023) - [i4]Mintong Kang, Dawn Song, Bo Li:
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification. CoRR abs/2311.16124 (2023) - 2022
- [c2]Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta:
Fairness in Federated Learning via Core-Stability. NeurIPS 2022 - [c1]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS 2022 - [i3]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR abs/2205.15494 (2022) - [i2]Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta:
Fairness in Federated Learning via Core-Stability. CoRR abs/2211.02091 (2022) - 2021
- [i1]Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou:
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels. CoRR abs/2109.12265 (2021)
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