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🔄 In a Training Loop

Mukul Ranjan

mukul54
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P(doom) Rejects the premise
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https://www.mukul54.github.io

AI & ML interests

Efficiency, Optimization

Recent Activity

reacted to Parveshiiii's post with 🤗 about 8 hours ago
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 about 10 hours ago
AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model
upvoted a paper about 13 hours ago
AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model
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