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AdsMind achieves a staggering 100% success rate in discovering adsorption configurations while slashing computational costs by 14-fold compared to traditional methods.
Adversarial attacks on ASR systems can achieve a +26.6 WER improvement by targeting feature representations instead of raw audio, exposing a significant blind spot in current robustness evaluations.
Current MLLMs fail to detect covert advertisements, revealing a critical gap in social media moderation that could mislead consumers and pose ethical risks.
