1 citations · 2 across the 4 of their papers we have counts for
4 papers
Breaking the weakest link to evade vision language models
Ilan Zini, Boussad Addad, Katarzyna Kapusta
Vision Language Models (VLMs) have recently emerged as a critical component of multimodal AI systems, enabling joint reasoning over visual and textual inputs in real-world and safe…
Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models
Thomas Winninger, Boussad Addad, Katarzyna Kapusta
Traditional white-box methods for creating adversarial perturbations against LLMs typically rely only on gradient computation from the targeted model, ignoring the internal mechani…
DiffGuard: Text-Based Safety Checker for Diffusion Models
Massine El Khader, Elias Al Bouzidi, Abdellah Oumida +6
Recent advances in Diffusion Models have enabled the generation of images from text, with powerful closed-source models like DALL-E and Midjourney leading the way. However, open-so…
Clipping free attacks against artificial neural networks
Boussad Addad, Jerome Kodjabachian, Christophe Meyer
During the last years, a remarkable breakthrough has been made in AI domain thanks to artificial deep neural networks that achieved a great success in many machine learning tasks i…