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Mingli Zhu
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2020 – today
- 2024
- [c4]Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang:
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR 2024: 24645-24654 - [i7]Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu:
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models. CoRR abs/2401.07208 (2024) - [i6]Mingli Zhu, Siyuan Liang, Baoyuan Wu:
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. CoRR abs/2405.16134 (2024) - [i5]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen:
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR abs/2407.19845 (2024) - 2023
- [c3]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV 2023: 4443-4454 - [c2]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS 2023 - [i4]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR abs/2304.11823 (2023) - [i3]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR abs/2306.16697 (2023) - [i2]Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu:
Defenses in Adversarial Machine Learning: A Survey. CoRR abs/2312.08890 (2023) - 2022
- [c1]Mingli Zhu
, Hongfang Lv
Indoor localization algorithm based on Bluetooth location fingerprinting and CNN. RICAI 2022: 1298-1303 - [i1]Jiawei Liang, Siyuan Liang, Aishan Liu, Mingli Zhu, Danni Yuan, Chenye Xu, Xiaochun Cao:
Rethinking Data Augmentation in Knowledge Distillation for Object Detection. CoRR abs/2209.09841 (2022)
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last updated on 2024-10-07 01:22 CEST by the dblp team
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