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20212026
most citedShielding Federated Learning: Robust Aggregation with Adaptive Client Selection

50 citations · 105 across the 21 of their papers we have counts for

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8 papers · 1 filter

cs.LG2025

HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction

Minghui Li, Yuanhang Wang, Peijin Guo +3

Accurate prediction of Drug-Target Affinity (DTA) is crucial for reducing experimental costs and accelerating early screening in computational drug discovery. While sequence-based…

cs.CV2025

DarkHash: A Data-Free Backdoor Attack Against Deep Hashing

Ziqi Zhou, Menghao Deng, Yufei Song +6

Benefiting from its superior feature learning capabilities and efficiency, deep hashing has achieved remarkable success in large-scale image retrieval. Recent studies have demonstr…

cs.CV2025

Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces

Junyu Shi, Minghui Li, Junguo Zuo +8

Deepfakes, leveraging advanced AIGC (Artificial Intelligence-Generated Content) techniques, create hyper-realistic synthetic images and videos of human faces, posing a significant…

cs.CR2025

MARS: A Malignity-Aware Backdoor Defense in Federated Learning

Wei Wan, Yuxuan Ning, Zhicong Huang +7

Federated Learning (FL) is a distributed paradigm aimed at protecting participant data privacy by exchanging model parameters to achieve high-quality model training. However, this…

cs.AI2025

Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling

Minghui Li, Hao Zhang, Yechao Zhang +4

Direct Prompt Injection (DPI) attacks pose a critical security threat to Large Language Models (LLMs) due to their low barrier of execution and high potential damage. To address th…

cs.CR2025

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM

Lei Yu, Yechao Zhang, Ziqi Zhou +6

With the rapid development of the Vision-Language Model (VLM), significant progress has been made in Visual Question Answering (VQA) tasks. However, existing VLM often generate ina…

cs.LG2025

Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction

Peijin Guo, Minghui Li, Hewen Pan +6

While deep learning models play a crucial role in predicting antibody-antigen interactions (AAI), the scarcity of publicly available sequence-structure pairings constrains their ge…

cs.CV2025

PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation

Yufei Song, Ziqi Zhou, Minghui Li +6

With the rapid advancement of deep learning, the model robustness has become a significant research hotspot, \ie, adversarial attacks on deep neural networks. Existing works primar…