Can Agents Keep Secrets They Were Never Told? Benchmarking Latent Privacy Risks Across Sessions with MemJoin
To support sustained interactions and personalized assistance, agents use long-term memory to retain and combine user in
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← 返回归档列表To support sustained interactions and personalized assistance, agents use long-term memory to retain and combine user in
AI agents increasingly interact with external environments to complete complex user tasks. These interactions can lead t
Until April 2026, the National Vulnerability Database labeled nearly every published Common Vulnerabilities and Exposure
Layer 2 (L2) rollups have become the dominant scaling solution in Ethereum. At the core of these systems lies the rollup
Layer 2 (L2) blockchain solutions emerged in recent years, predominantly in the Ethereum ecosystem, as a viable option f
Detection rules are typically crafted based on specific observations of an attack. While these rules are effective for p
Machine-learning-based intrusion detection systems (IDSs) for operational technology (OT) are commonly evaluated on benc
Mobile health (mHealth) apps collect personally-identifiable information while handling uniquely sensitive medical data,
Rènyi differential privacy, based on Rènyi divergence, has become a notion of choice for privacy guarantees. However, ou
Step-level guards for tool-using agents are evaluated on tidy JSON tool calls, but deployed coding agents act through ex
AI agents are growing more capable and persistent, and are being deployed in ever larger numbers. As more start collabor
Implementing Security Technical Implementation Guide (STIG) controls remains a demanding operating-system administration
Typed decision models often return more than a selected category. They also expose probabilities for each candidate and,
Small Language Models (SLMs) are increasingly attractive for resource-constrained environments due to their low computat
EIP-1559 has become the dominant transaction fee mechanism in permissionless blockchains, regulating scarce block space
Coding agents are increasingly capable with autonomy, which exposes them to repository-level poisoning. Existing red-tea
Private simultaneous quantum messages (PSQM) provide a minimal model of noninteractive secure multiparty quantum computa
Tool-using language-model agents increasingly rely on local services for document access, approval management, and enter
Leakage-abuse attacks against encrypted database systems exploit semantic leakage and pose a severe threat to the confid
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