All publications
View on Google ScholarBold marks my name; marks A* conferences (CORE).
2026
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NeurIPS ★ A* conference
Do Robust LVLMs Hallucinate More? Uncovering Robustness-Induced Hallucination in Large Vision-Language Models
The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), Main Track, 2026
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EMNLP ★ A* conference
Do LVLMs Know When They Are Wrong? Trajectory-Based Correctness Estimation from a Single Forward Pass
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main Track, 2026
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EMNLP ★ A* conference
From Benchmarks to Real-World Use: Evaluating the Robustness of Vision-Language Models for Chart Understanding
Conference on Empirical Methods in Natural Language Processing (EMNLP), Industry Track, 2026
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CVPR ★ A* conference
When Data is Scarce, Learn to Adapt: Robust Federated Learning via Adversarial Meta-Optimization
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Findings Track, 2026
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IJCNN
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models
International Joint Conference on Neural Networks (IJCNN), 2026
2025
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CVPR ★ A* conference
SLADE: Shielding against Dual Exploits in Large Vision-Language Models
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 22.1% acceptance
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TAI
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
IEEE Transactions on Artificial Intelligence, 2025 Q1 journal
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ICCVW
Pose to Protect: Federated Skeleton-Based Anomaly Detection for Privacy-Conscious Video Surveillance
International Conference on Computer Vision Workshops (ICCVW), 2025
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CVPRW
Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks
IEEE/CVF CVPR Workshops, 2025
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AAAI-SS
Benchmarking Large Language Models for Resource-Efficient Medical AI at the Edge
AAAI 2025 Spring Symposium
2024
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BigData
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
IEEE International Conference on Big Data (BigData), pp. 6250–6259, 2024
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ICMLA
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
23rd International Conference on Machine Learning and Applications (ICMLA), 2024
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ICDCSW
Flamingo: Adaptive and Resilient Federated Meta-Learning Against Adversarial Attacks
IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW), 2024
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SusTech
Generative AI-based Land Cover Classification via Federated Learning CNNs: Sustainable Insights from UAV Imagery
IEEE Conference on Technologies for Sustainability (SusTech), pp. 356–361, 2024
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COMPSAC
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer
IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024
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COMPSAC
Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation
IEEE COMPSAC, pp. 510–518, 2024
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COMPSAC
Enhancing Road Safety Through Cost-Effective, Real-Time Monitoring of Driver Awareness with Resource-Constrained IoT Devices
IEEE COMPSAC, pp. 1711–1720, 2024
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COMPSAC
WatchOverGPT: A Framework for Real-Time Crime Detection and Response Using Wearable Camera and Large Language Model
IEEE COMPSAC, pp. 2189–2194, 2024
2023
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DSC
FLID: Intrusion Attack and Defense Mechanism for Federated Learning-Empowered Connected Autonomous Vehicles
6th IEEE Conference on Dependable and Secure Computing (IEEE DSC), 2023
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SMARTCOMP
Assessing Wearable Human Activity Recognition Systems Against Data Poisoning Attacks in Differentially-Private Federated Learning
IEEE International Conference on Smart Computing (SMARTCOMP), pp. 355–360, 2023
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