Papers by Vinu Sankar Sadasivan
Attacker’s Noise Can Manipulate Your Audio-based LLM in the Real World (2026.eacl-long)
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| Challenge: | a recent study examines the real-world vulnerabilities of audio-based large language models such as Qwen2 . despite their impressive capabilities, large language model's are susceptible to various security exploits . |
| Approach: | They investigate the real-world vulnerabilities of audio-based large language models . they show that an adversary can craft stealthy audio perturbations to manipulate ALLMs . |
| Outcome: | The proposed attacks can be adapted to real-world scenarios and impact innocent users . the proposed attacks are scalable and can be exploited in real-time . |