Can Loan Processors and Underwriters Spot AI-Edited Statements? An Empirical Study
AI-assisted editing can produce loan documents that preserve familiar issuer layouts while changing the applicant's iden
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When tool-use agents write files, execute code, or send data, their final responses do not explain the resulting securit
Safety probes trained on a model's activations are a standard tool for monitoring language models in real time. Each tim
Transactions differ in how their value changes with execution time and relative position. Ethereum's EIP-1559 lets them
A fundamental paradox plagues the deployment of Machine Learning in cybersecurity: supervised models generalize poorly t
Synthetic Data Generation (SDG) is an actively studied way to enable safe sharing of private data more broadly. Inferenc
Recent large reasoning models can infer where ordinary photos were taken using only visual information, creating a serio
Modern heterogeneous computing platforms, which integrate general-purpose processors with specialized accelerators such
NIST standardised ML-KEM and ML-DSA in 2024 for post-quantum key establishment and digital signatures. Both compute forw
Every implementation of Bitcoin's Lightning payment network disclosed security vulnerabilities in 2026, and every adviso
Post-generation safety checkers are widely employed in diffusion-model pipelines to prevent unsafe generated content fro
Neural receivers for 5G New Radio (NR) match classical model-based receivers in link-level performance, but their robust
Medical artificial intelligence (AI) models are often shared without their training data, assuming this protects the pat
Perimeter triage faces a latency/semantics trade-off: signature engines are fast and format-safe but blind to unseen att
Facial recognition has become central to modern authentication systems, security frameworks, and personalized services.
Gate bootstrapping (GB) is a widely used technique in FHEW-like fully homomorphic encryption schemes, such as TFHE, for
Instruction-data selectors choose which instruction-following records are used for fine-tuning, improving alignment qual
Coding agents that run long enough must compact their context, summarizing the conversation, discarding the original, an
Finite-field inversion is a basic nonlinear building block in the design of S-boxes for symmetric cryptography. In inver
Message Queue Telemetry Transport (MQTT) is widely used in IoT environments due to its lightweight publish-subscribe des