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SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)
Announce Type: new Abstract: Synthetic data is increasingly promoted as a privacy-preserving substitute for releasing sensitive tabular records, yet its central adversarial threat ("reconstruction", the recovery of an individual's hidden attribute values from a synthetic release and a handful of known quasi-identifiers) has been studied only in scattered, hard-to-compare settings. We present the first systematization of reconstruction (equivalently, attribute inference) attacks on...
RAPTOR+: A Visually Grounded Vision-Language Framework to Improve Clinical Trust and Auditability in Automated Cancer Referral Processing
arXiv:2605.25956v2 Announce Type: replace Abstract: Urgent suspected colorectal cancer (CRC) referrals create operational bottlenecks because semi-structured clinical documents often require manual review and transcription. The original RAPTOR system used Large Language Models for structured extraction but relied on a separate OCR stage, making it vulnerable to handwriting, layout variation, and loss of visual evidence linkage. We present RAPTOR+, a multimodal extension that uses...
Genotype and methylation interact to reconfigure transcriptional regulation in colorectal cancer
Background Transcriptional regulation is shaped by both genomic variants and the environment. Yet, how the regulatory effects of genomic variants are reconfigured by dynamic epigenomic changes during tumorigenesis remains incompletely understood. Methods We investigated methylation context-dependent links between genotype and gene expression in colorectal cancer (CRC) using paired tumor and normal-adjacent tissue (NAT) from 80 patients, thereby controlling for germline genomic background.
A Joint Finite-Sample Certificate for Adaptive Selective Conformal Risk Control
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Distribution-Free Risk-Aware Planning and Control Under Uncertainty Using Conformal Spectral Risk Control
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QBE – Compiler Back end: Version 1.3
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BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies
arXiv:2605.30660v1 Announce Type: new Abstract: Test-time scaling for vision-language-action (VLA) policies, methods such as RoboMonkey, SEAL, MG-Select, and V-GPS, samples K candidate action chunks at inference and executes the verifier-best. When all K candidates are unsafe, the system executes a violating action with no warning. We propose BOKBO, the first conformal abstention layer for K-sample VLA inference, providing finite-sample distribution-free guarantees on executed-violation rate.
Twin sisters who fought off crocodiles unveil new project to save species that attacked them
Twin sisters who fought off crocodiles unveil new project to save species that attacked them Georgia Laurie, 33, punched a crocodile in the jaw to save her twin sister Melissa from certain death during a trip to Mexico - and the pair are now leading a campaign to help save the reptiles A pair of British twins who fought off crocodiles to save their lives have backed a new conservation project to help save the species that attacked them. Georgia Laurie, 33, from Sandhurst, Berkshire, leapt in...