AI Attacks attack research · no vendor filter rev.2026.06
// Latest archive
Every model has an attack surface.
Working AI red team techniques from the practitioner trenches. Attack patterns, tooling, scoping methodology, and reproducible PoCs against deployed LLMs and agents — sourced from real engagements and primary research, not vendor decks.
Enter the archive →Latest entries
// index16 entries
LLM Jailbreak Techniques Explained: Eight Attack Patterns and What Defenders Do About Them
Attack TechniquesOWASP Top 10 LLM Explained: Every Entry, What It Means, and What to Fix
LLM SecurityEvasion Attacks on Production Classifiers: Malware, Spam, and Fraud
adversarial-mlPoisoning Web-Scale Training Sets: Split-View and Frontrunning
adversarial-mlAdversarial Examples Against Vision Models in 2025
adversarial-mlAdversarial Suffixes: A GCG Practitioner Guide
techniqueJailbreaking Multimodal Models: Visual Prompt Injection Attacks
attack-patternsLLM Jailbreaking via Many-Shot Prompting
techniqueModel Extraction via Black-Box Query Attacks
adversarial-mlSupply Chain Attacks on AI Models: Poisoning and Backdoors
attack-patterns
Why trust us
Trusted by researchers across the AI security community
AI Attacks is part of a 26-site editorial network covering adversarial ML, AI governance, defensive tooling, and ops engineering — all open access.
26
Sites in network
Across 6 topic clusters
400+
Expert articles
And growing daily
Daily
New content
Automated + editorial
Free
Always free to read
Newsletter included
Subscribe
AI Attacks — in your inbox
Practitioner-grade AI red team techniques and tooling. — delivered when there's something worth your inbox.
No spam. Unsubscribe anytime.