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cs.CR2026
Attention Is Where You Attack
Aviral Srivastava, Sourav Panda
Safety-aligned large language models rely on RLHF and instruction tuning to refuse harmful requests, yet the internal mechanisms implementing safety behavior remain poorly understo…
cs.CR2024★ 1 cited
A Formal Framework for Assessing and Mitigating Emergent Security Risks in Generative AI Models: Bridging Theory and Dynamic Risk Mitigation
Aviral Srivastava, Sourav Panda
As generative AI systems, including large language models (LLMs) and diffusion models, advance rapidly, their growing adoption has led to new and complex security risks often overl…
cs.CR2023
Anticipated Network Surveillance -- An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
Aviral Srivastava, Dhyan Thakkar, Sharda Valiveti +2
Machine learning and data mining techniques are utiized for enhancement of the security of any network. Researchers used machine learning for pattern detection, anomaly detection,…