Researchers say that the recommendation algorithm published by X doesn't offer the kind of transparency that would actually ...
Quantum computing is advancing quickly and is raising new questions about the long-term security of blockchain systems.
Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...
Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
Discover Microsoft’s holistic SDL for AI combining policy, research, and enablement to help leaders secure AI systems against ...
History may soon repeat itself with a novel new platform: networks of AI agents carrying out instructions from prompts and sharing them with other AI agents, which could spread the instructions ...
Abstract: The growing complexity of cyberattacks calls for advanced intrusion detection systems to spot and fight threats as they happen. Machine learning has become a key tool for enhancing IDS ...
Abstract: Traditional risk management methods relying on manual experience and rules have been difficult to deal with complex and changeable security threats. This paper explores the application of ...
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