Kejia Zhang
  • Bio
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  • Publications
    • Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
    • Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
    • Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
    • A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection
    • Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
    • Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks
  • Blog
    • Xiamen University, Westlake University and DAMO Academy propose "Poison as Cure", A novel method using visual noise to mitigate object hallucination in LVMs
    • Released AdverRobust, a open-source framework for adversarial training and robustness evaluation!
  • Projects
    • Poison as Cure-Visual Noise for Mitigating Object Hallucinations in LVMs
    • AdverRobust
    • Motif-based GNNs
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    • NLPCC-24
    • PRCV-2023
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Released AdverRobust, a open-source framework for adversarial training and robustness evaluation!

Sep 13, 2024·
Kejia Zhang
Kejia Zhang
· 0 min read
Last updated on Sep 13, 2024
AdverRobust Intelligence!
Kejia Zhang
Authors
Kejia Zhang
Master Student
← Xiamen University, Westlake University and DAMO Academy propose "Poison as Cure", A novel method using visual noise to mitigate object hallucination in LVMs Jan 30, 2025

© 2025 Kejia Zhang. This work is licensed under CC BY NC ND 4.0

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