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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.LG2024
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
Hetvi Waghela, Jaydip Sen, Sneha Rakshit
Adversarial attacks against deep learning models represent a major threat to the security and reliability of natural language processing (NLP) systems. In this paper, we propose a…