Android Services 101
pentestpartners.com·1d
🛡️eBPF Security
Meta: Slow Blogging Ahead
blog.dshr.org·1d·
Discuss: www.blogger.com
📜TEI Encoding
Docker’s Biggest Security Threat: How Python Stops Container Attacks
thenewstack.io·1d
📦Container Security
NEWS ROUNDUP – 26TH July 2025
digitalforensicsmagazine.com·2h
🛡Cybersecurity
Create Videos with Sound – Plexigen AI
plexigen.ai·10h·
Discuss: Hacker News
🎧Learned Audio
Global patterns in elites' quest for confidentiality in offshore finance
journals.plos.org·1d·
Discuss: Hacker News
📡BGP Archaeology
Famed Wanamaker Organ will again be heard by the public in fall art series in Philadelphia
the-independent.com·17h
🕯️Wax Cylinders
ICML Statement about subversive hidden LLM prompts
icml.cc·3d·
Discuss: Hacker News
⚖️Constraint Logic
A strong bomb explosion targets a Greek prison guard's home
the-independent.com·22m
🚨Incident Response
My Deep Learning Journey with Andrew Ng
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Your Money, Their Syntax: How LLMs Write Trust into Empty Crypto Promises
dev.to·23h·
Discuss: DEV
📋Document Grammar
Show HN: Building "Love at First Mic" – Tech Clone of TV Show "Love Is Blind"
news.ycombinator.com·1d·
Discuss: Hacker News
🌐WASI
Researchers demonstrate first bidirectional asymmetric frequency conversion in a single system
phys.org·23h
📡Frequency Archaeology
Cryptography's Developer Dilemma: An Urgent Call for API Research
hackernoon.com·11h
🔐Cryptographic Archaeology
Systematic AI Development: A Demo Project Breakdown
dev.to·19h·
Discuss: DEV
⚡Proof Automation
Exploiting the Overlooked: From Regex Bypasses to Full Source Code Leaks
infosecwriteups.com·2d
💣ZIP Vulnerabilities
Personalized AI is rerunning the worst part of social media's playbook
helentoner.substack.com·2h·
Discuss: Substack
🎛️Feed Filtering
Hackaday Podcast Episode 330: Hover Turtles, Dull Designs, and K’nex Computers
hackaday.com·20h
⚡Circuit Archaeology
Benchmarking of Deep Learning Methods for Generic MRI Multi-OrganAbdominal Segmentation
arxiv.org·1d
🧠Machine Learning
A Supervised Machine Learning Framework for Multipactor Breakdown Prediction in High-Power Radio Frequency Devices and Accelerator Components: A Case Study in P...
arxiv.org·1d
🧠Machine Learning