3 papers
cs.LG2026
MorphStrata: Layer-Specific Perturbations for Generating Morphence Students in Time-Series Moving Target Defense
Abhishek Bhardwaj, Arnav Doshi, Anusri Nagarajan +5
Time-series forecasting models remain vulnerable to gradient-based adversarial attacks while existing defense mechanisms typically incur a trade-off in robustness for bounded respo…
cs.LG2026
LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats
Ruppikha Sree Shankar, Abhishek Bhardwaj, Arnav Doshi +3
LLMs are increasingly deployed in security-critical systems across healthcare, finance, education, and decision support, yet their inability to forget creates serious cybersecurity…
cs.LG2025
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan, Rohan Mohapatra, Sanchari Das +1
The emergence of deep learning models has revolutionized various industries over the last decade, leading to a surge in connected devices and infrastructures. However, these models…