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Agentic AI Risks, CVE Program Concerns Permeate Black Hat USA 2026

Dark Reading's Black Hat USA 2026 reporter notebook highlights agentic AI risks, CVE program concerns, and AI's impact on vulnerability reporting.

Dark Reading's Reporters' Notebook video from Black Hat USA 2026 examines the themes that dominated the conference. Key topics include risks from agentic AI, concerns about the CVE program, and AI's effects on vulnerability reporting and security research. The piece is conference commentary rather than a technical disclosure.

Dark ReadingAug 27, 17:25 UTC · 20d agoIndustry

Forging Tree-Ring: Reproducing and Instrumenting Black-Box Semantic Watermark Forgery

Reprompt watermark forgery reproduces on Stable Diffusion XL using free-tier T4 GPUs, with forged images accepted by the genuine detector 5 of 6 times.

The authors reproduce the Reprompt forgery attack of Müller et al. against Tree-Ring watermarking on Stable Diffusion XL using the released code on free-tier dual T4 GPUs with 14.6 GB usable memory, versus the A40 hardware of the original study. Over six trials, the genuine detector flagged genuine images 6/6, clean images 0/6, and forged images 5/6, at 325-332 seconds per attack. They also recovered the detector's discarded non-central chi-square statistic and built two natural scores separating forged images from the clean null at AUC 0.861 and 0.972. The notebook, pinned fork, and all measurement artifacts are released with the paper.

arXiv cs.CRSep 11, 14:35 UTC · 5d agoResearch