3 papers
cs.CR2026
LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
Ron Solomon, Yarin Yerushalmi Levi, Lior Vaknin +8
The incorporation of LLMs in multi-agent systems (MASs) has the potential to significantly improve our ability to autonomously solve complex problems. However, such systems introdu…
cs.CV2024
QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
Amit Baras, Alon Zolfi, Yuval Elovici +1
In recent years, there has been a significant trend in deep neural networks (DNNs), particularly transformer-based models, of developing ever-larger and more capable models. While…
cs.CV2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
Oryan Yehezkel, Alon Zolfi, Amit Baras +2
Vision transformers have contributed greatly to advancements in the computer vision domain, demonstrating state-of-the-art performance in diverse tasks (e.g., image classification,…