Introducing Unit 42’s Attribution Framework
unit42.paloaltonetworks.com·1d
🎯Threat Hunting
Be the LetsEncrypt in your homelab with step-ca
jan.wildeboer.net·2d
🏠Homelab Pentesting
Aperiodical News Roundup – June & July 2025
aperiodical.com·19h
💎Information Crystallography
A backlog at the Commerce Department is reportedly stalling Nvidia’s H20 chip licenses
techcrunch.com·8h
🖥️Modern Terminals
Consistent MySQL Structure.sql Diffs for Rails
lovro-bikic.github.io·19h·
Discuss: Hacker News
🗄️Database Internals
Scientists Are Hunting Down Humanity's Earliest Artificial Memories
popularmechanics.com·16h·
Discuss: Hacker News
🗝️Paleocryptography
Molecular imaging uncovers hidden flaws in plastics used for electronics
phys.org·14h
🧲Cassette Physics
Scientists shrink the genetic code of E. coli to contain only 57 of its usual 64 codons
phys.org·12h
🧬Palindrome Codes
Want to Read Smart Wallet Transactions? You'll Need to Hack Around Dune
hackernoon.com·1d
✅Checksum Validation
React Libraries for Building AI-Powered Apps
dev.to·1d·
Discuss: DEV
🎙️Whisper
The Bug That Drove Me So Crazy, I Got Hired Just to Fix It
dev.to·1d·
Discuss: DEV
❄️Nix Flakes
Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing
arxiv.org·3d
🛡️WASM Sandboxing
Python Fundamentals: comparison chaining
dev.to·3d·
Discuss: DEV
📏Code Metrics
Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM
arxiv.org·4d
🤖Advanced OCR
A Compute-Matched Re-Evaluation of TroVE on MATH
arxiv.org·2d
🧮SMT Solvers
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
arxiv.org·2d
💻Local LLMs
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
arxiv.org·2d
🧠Machine Learning
An Empirical Study on the Amount of Changes Required for Merge Request Acceptance
arxiv.org·1d
🔓Open Source Software
Exploring LLM-generated Culture-specific Affective Human-Robot Tactile Interaction
arxiv.org·1d
✋Tactile Computing
DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver
arxiv.org·1d
🧠Machine Learning