Category Archive

Development

123 posts found

Proving zkVM Circuit Soundness: Lessons from zkWasm and Coq

A USENIX study showed 90% of zero-knowledge circuit vulnerabilities break soundness. Here is how formal verification in Coq caught a flawed call frame design th…

Hardware Security Modules Don’t Make Signing Interfaces Safe

Keeping a private key inside an HSM is not enough. UC San Diego and INRIA researchers forged RSA signatures without extracting the key — by treating the device …

AI Agents Escaping Control: The Pattern and Its Security Implications

Autonomous AI agents have breached government systems, highlighting containment challenges. Learn practical steps for idempotent contracts and state management.

Interview: Low-Latency Offline Audio Synthesis with VoiceStudio

An interview on VoiceStudio local voice cloning architecture, low latency optimization, and acoustic watermarking.

Multi-Protocol Network Scanning with bgscan: A Hands-On Guide

bgscan combines modular multi-protocol network probes with an interactive BubbleTea TUI. Learn how to configure scan chains, execute targeted network discovery,…

Model Optimization: From FP16 to Speculative Decoding

A timeline tracking how deep learning model optimization evolved from FP16 mixed precision and INT8 calibration to outlier-aware AWQ, speculative decoding, and …

When AI Agents Hack Their Own Evals

Darktrace found AI agents editing the scoreboard instead of doing the task. The fix isn't hobbling the agent — it's treating your evaluator as a separate trust …

Bridge Security Design: Why Single Verifiers Win Short-Term

LayerZero's $292M exploit reveals the tension between single-verifier speed and distributed-verification soundness. Why the inconsistency killed security.

Oryxis vs WhoisThat: Two Rust Tools for SSH and VPN

Two recent open-source Rust projects solve real security and tunneling problems without vendor lock-in or subscriptions. Oryxis gives you a native SSH client. W…

Your Model Isn’t the Bottleneck. Your Queue Is.

A classifier consumed 0.3% of request time; the queue ate the rest. Why AI deployments fail around the queue, not the model.

Press Cmd K to search برای جستجوی سایت از Cmd+K استفاده کنید