Showing 1–20 of 22 results
/ Date/ Name
Aug 20, 2024A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior CollapseMar 6, 2020A Bayesian algorithm for retrosynthesisAug 3, 2025Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision SystemsAug 17, 2023A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification ModelsMay 21, 2025My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face SwappingJan 18, 2024Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color AttackOct 16, 2023Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd ScenesAug 30, 2024Instant Adversarial Purification with Adversarial Consistency DistillationDec 31, 2025Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target RecognitionMar 30, 2026GazeSync: A Mobile Eye-Tracking Tool for Analyzing Visual Attention on Dynamically Manipulated ContentFeb 28, 2025T2ICount: Enhancing Cross-modal Understanding for Zero-Shot CountingJul 29, 2025HRIPBench: Benchmarking LLMs in Harm Reduction Information Provision to Support People Who Use DrugsSep 26, 2024Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMsJan 7, 2025Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot DetectionMay 23, 2025Towards more transferable adversarial attack in black-box mannerOct 17, 2024MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal AttacksJul 8, 2025Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of PrematurityJun 10, 2024A Survey of Recent Backdoor Attacks and Defenses in Large Language ModelsOct 6, 2025P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMsNov 12, 2025GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks