Researchers have discovered various jailbreak attacks on Large Language Models (LLMs) like GPT-4, Claude, and R2D2-7B, exploiting vulnerabilities and demonstrating successful jailbreaks. Techniques include adaptive attacks, 'crescendo' behavior exploitation, and 'Many Shot Jailbreak.' These attacks have raised concerns about the safety and security of LLMs, even when fine-tuned with benign data.
"Crescendo Multi-Turn LLM Jailbreak Attack" by Microsoft's @markrussinovich, @AhmedGaSalem, and @EldanRonen uses multiple rounds of interactions to evade LLM content policies : https://t.co/elMAEcMDli https://t.co/W0w2wgC7ml
NEW Universal AI Jailbreak SMASHES GPT4, Claude, Gemini, LLaMA The Anthropic team just released a paper detailing a new jailbreak technique called "Many Shot Jailbreak" which utilizes the larger context windows and large model's ability to learn against it! https://t.co/YRHy1rv7o9
[LG] What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety L He, M Xia, P Henderson [Princeton University] (2024) https://t.co/j35uqIRaOQ - Current safety-aligned LLMs are susceptible to jailbreaking, even when fine-tuned with benign data. This paper explores… https://t.co/hTJM5USdZz
⛓️ JAILBREAK ALERT ⛏️ OPENAI: PWNED 😎 GPT-4-TURBO: LIBERATED 🔓 Bear witness to GPT-4 sans guardrails, with outputs such as illicit drug instructions, malicious code, and copyrighted song lyrics-- the jailbreak trifecta! This one wasn't easy. OpenAI's defenses are cleverly… https://t.co/3Xk0ZdVBJ1
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks https://t.co/M3x37qeKXY
Red Teaming GPT-4V Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? Various jailbreak attacks have been proposed to red-team Large Language Models (LLMs) and revealed the vulnerable safeguards of LLMs. Besides, some methods are not limited to the textual modality https://t.co/D6J7iOKlq3
As part of our ongoing work on AI safety and security, we've discovered a powerful, yet simple LLM jailbreak that exploits an intrinsic LLM behavior we call 'crescendo' and have demonstrated it on dozens of tasks across major LLM models and services: https://t.co/RBvCIavSOO
Safety and Alignment Team: The model is safe and secure. User with Jailbreaking promot 👊 https://t.co/EXoe7n2Oj0
🚨 Are leading safety-aligned LLMs adversarially robust? 🚨 ❗In our new work, we jailbreak basically all of them with ≈100% success rate (according to GPT-4 as a semantic judge): - Claude 1.2 / 2.0 / 2.1 / 3 Haiku / 3 Sonnet / 3 Opus, - GPT-3.5 / GPT-4, - R2D2-7B from… https://t.co/AKKewtKCcz