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Conferences
Minghui Li
13 papers at tracked venues · 10 at CORE A* · active 2024–2026
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Venues
AAAI
×4
NeurIPS
×3
ACM MM
×1
CVPR
×1
ECML-PKDD
×1
EMNLP
×1
ICLR
×1
IJCAI
×1
Frequent coauthors
Yichen Wang
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Hangtao Zhang
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Lulu Xue
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Yechao Zhang
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Peijin Guo
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Ziqi Zhou
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Xianlong Wang
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Papers
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
AAAI 2026
·
Lulu Xue
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AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
NeurIPS 2025
·
Yichen Wang
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BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
ICLR 2025
·
Hangtao Zhang
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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
AAAI 2025
·
Yichen Wang
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Detecting and Corrupting Convolution-based Unlearnable Examples
AAAI 2025
·
Minghui Li
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
AAAI 2025
·
Yechao Zhang
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Test-Time Backdoor Detection for Object Detection Models
CVPR 2025
·
Hangtao Zhang
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Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling
EMNLP 2025
·
Minghui Li
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
ECML-PKDD 2025
·
Peijin Guo
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DarkFed: A Data-Free Backdoor Attack in Federated Learning
IJCAI 2024
·
Minghui Li
DarkSAM: Fooling Segment Anything Model to Segment Nothing
NeurIPS 2024
·
Ziqi Zhou
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Transferable Adversarial Facial Images for Privacy Protection
ACM MM 2024
·
Minghui Li
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
NeurIPS 2024
·
Xianlong Wang
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