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E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data.

, , , , , and . CoRR, (2024)

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SGUARD: Towards Fixing Vulnerable Smart Contracts Automatically., , and . SP, page 1215-1229. IEEE, (2021)VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces., , and . WACV, page 8548-8558. IEEE, (2024)ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation., , , , , and . CoRR, (2024)An Idealist's Approach for Smart Contract Correctness., , , and . ICFEM, volume 14308 of Lecture Notes in Computer Science, page 11-28. Springer, (2023)sFuzz2.0: Storage-access pattern guided smart contract fuzzing., , , , , , and . J. Softw. Evol. Process., (April 2024)Beyond Deepfake Images: Detecting AI-Generated Videos., , , and . CoRR, (2024)Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks., , and . CVPR Workshops, page 983-992. IEEE, (2023)E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data., , , , , and . CoRR, (2024)sFuzz: an efficient adaptive fuzzer for solidity smart contracts., , , , and . ICSE, page 778-788. ACM, (2020)Open Set Synthetic Image Source Attribution., , and . BMVC, page 659. BMVA Press, (2023)