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Found 5 papers, 1 papers with code
Beyond Deepfake Images: Detecting AI-Generated Videos
Recent advances in generative AI have led to the development of techniques to generate visually realistic synthetic video.
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
To address these issues, we introduce the Ensemble of Expert Embedders (E3), a novel continual learning framework for updating synthetic image detectors.
Open Set Synthetic Image Source Attribution
To address this new threat, researchers have developed multiple algorithms to detect synthetic images and identify their source generators.
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces
While existing forensic networks have demonstrated strong performance on image forgeries, recent results reported on the Adobe VideoSham dataset show that these networks fail to identify fake content in videos.
sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts
In this work, we present an adaptive fuzzer for smart contracts on the Ethereum platform called sFuzz.
Software Engineering
