Shortcut Sensitivity in Agent-Safety Evaluations
AI agents take actions through tools. Some actions are sensitive, so guards that supervise them must themselves be evalu
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Mobile apps have become ubiquitous in daily life. Despite communication encryption, app fingerprinting (AF) attacks can
Secure Multi-Party Computation (MPC) is an important enabling technology for data privacy in modern distributed applicat
Language embeddings are increasingly used in recommenders to represent item content, but their privacy risks remain poor
Federated learning (FL) is increasingly used to adapt a pretrained, centrally fine-tuned model to data that remain on us
Privacy-preserving protocols can repair a vulnerability without establishing whether it was exploited beforehand, even w
Modern platforms such as Ethereum and Polkadot nowadays execute Byzantine fault-tolerant consensus protocols over large
Tokenized equities trade while listed markets are closed, so their marks could improve off-hours measurement along layer
Let $E$ be chosen uniformly from the geometric isomorphism classes of supersingular elliptic curves over $\overline{\mat
Matoi separates reusable consequence evidence from current execution authority and durable occurrence history. Its finit
Field nodes run image classifiers locally, exposing a first-class asset, the trained model, to theft. Trusted-execution
Clean-label backdoor poisoning is a threat to machine learning-based malware classifiers because poisoned samples can be
Multiparty Private Simultaneous Messages (PSM), also known as Decomposable Randomized Encoding (DRE) or information-theo
Existing federated data condensation methods face privacy risks, as uploaded synthetic data may preserve sensitive infor
Let $m\ge5$ be odd and $q=2^m$. For every odd $r$ with $3\le r<m$ and $\gcd(r,m)=1$ we give the reduced polynomial $P_{m
Approximate nearest neighbors search (ANNS) over cloud-hosted vector databases raises a critical privacy concern: the qu
The formal derivative of the reduced polynomial representative of a map on a binary finite field depends on the coordina
Cybersecurity interviews uncover critical security experiences, behaviors, and privacy concerns often not fully captured
Agentic software invokes tools, launches processes, accesses files, and communicates with local or remote services. Appl
We study a protocol-level reaction leakage in CKKS deployments where public coefficient-to-slot (C2S) evaluation keys ar