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cs.LG2026
Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks
Hamid Dashtbani, Mehdi Dousti Gandomani, AmirMahdi Sadeghzadeh
Machine learning models are increasingly adapted in various domains. However, adversarial examples pose a significant threat to the reliable deployment of these models. In recent y…
cs.LG2025
TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts
Torsten Krauß, Hamid Dashtbani, Alexandra Dmitrienko
Machine learning is advancing rapidly, with applications bringing notable benefits, such as improvements in translation and code generation. Models like ChatGPT, powered by Large L…