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In a Training Loop
Mukul Ranjan
mukul54
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P(doom)
Rejects the premise
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39 following
https://www.mukul54.github.io
mranjan54
mukul54
mr54
AI & ML interests
Efficiency, Optimization
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Most deepfake audio detectors are quietly cheating. They don’t really listen to the speech — they just look at how long the embedding vector is. Once they figure that out, accuracy looks great on paper and falls apart in the wild. AIRealNet-Audio was built to stop that shortcut. It forces every feature onto the unit hypersphere (twice) so the model can only use direction, not magnitude. Trained on speech from 100+ different TTS and voice-cloning systems, plus real human recordings under heavy compression and noise. The result is a detector that actually has to learn the artifacts instead of gaming the feature space. Model: https://huggingface.co/Modotte/AIRealNet-Audio
authored
a paper
3 days ago
AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model
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3 days ago
AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model
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mukul54
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mukul54/tab-vlm
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Apr 20
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mukul54/motion-text-classifier-v2
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Mar 27
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mukul54/motion-text-classifier
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mukul54/spookybench-v2
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Nov 13, 2025
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mukul54/culture-vlm-dataset-files
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mukul54/culture-vlm-artifact-dataset
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mukul54/LUAD_GSE131907
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Apr 2, 2025
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mukul54/video_gpt_activitynet_test
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Jan 9, 2025
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mukul54/video_chatgpt_activitynet_videos
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Jan 7, 2025
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