Tag: adversarial machine learning
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Mitigating Temporal Attacks in Deepfake Detection
Discover how SpInShield enhances deepfake detection by defending against temporal attacks and improving model robustness with spectral-invariant techniques...
Rubric-Based On-Policy Distillation for AI Model Alignment
Discover Rubric-based On-policy Distillation (ROPD), a scalable AI model alignment method that outperforms traditional logit-based techniques with 10x effi...
Anchor-Centric Adaptation to Overcome Diversity Trap in Robotics
Discover how Anchor-Centric Adaptation improves robotic manipulation by balancing coverage and density for better real-world VLA model performance.
TTF: Boost Video-Language Models with Temporal Token Fusion
Discover TTF, a training-free method that cuts visual tokens by 67% in video-language models, boosting efficiency without losing accuracy.
Cumulative Token Importance Sampling for LLM Policy Optimization
Discover how cumulative token importance sampling improves LLM policy optimization by reducing variance and bias for stable, efficient reinforcement learni...