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Control-flow hijacking attacks manipulate orchestration mechanisms in multi-agent systems into performing unsafe actions that compromise the system and exfiltrate sensitive information. Recently ...

Abstract: In recent years, non-control-data attacks have become a research hotspot in the field of network security, driven by the increasing number of defense methods against control-flow hijacking ...

Abstract: Control Flow Flattening (CFF), a prevalent obfuscation method employed in malicious software, transforms program structure to circumvent detection mechanisms. However, state-of-the-art ...

For ages, Ethernet has been the backbone of networking — starting from simple web browsing to cloud computing, data centers, automobiles, and more. Ethernet has enabled countless innovations, and now, ...

Molting peacocks squawked in the distance and a Pacific breeze whispered through the eucalyptus as flamingo keeper Liz Gibbons tidied her station at the San Francisco Zoo. It had been an unusually ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

We've seen this repeated over and over: AI models are only as good as the data they’re trained on. The secret sauce is training your model on your proprietary data while ensuring that your data ...