Vulnhuntr then gives the LLM a vulnerability-specific prompt for secondary analysis Each time the LLM analyzes the code, it requests additional context functions/classes/variables from other files in the project It continues doing this until the entire call chain from user input to server processing...
Bearer <valid_token> { "llm_factory": "__import__('os').system", "llm_name": "id", "model_type": "EMBEDDING", "api_key": "dummy_key" } This payload attempts to exploit the vulnerability by setting 'llm_factory' to a string that, when evaluated, imports the os module and call...
Due to the extreme light sensitivity and vulnerability of mitotic cells, previous volumetric SR imaging of this process has relied on the low-light LLS-SIM system and supervised learning-based SR reconstruction9. However, collecting high-quality training data is extremely laborious and sometimes ...
The vulnerability of face recognition systems to presentation attacks has limited their application in security-critical scenarios. Automatic methods of detecting such malicious attempts are essential for the safe use of facial recognition technology. Although various methods have been suggested for detecting...
BARD aims to improve in five areas: response accuracy, mitigating biases, avoiding personal opinions, addressing false positives and false negatives, and reducing vulnerability to adversarial prompting (Manyika, 2023). Download:Download high-res image (329KB) ...
Due to the distributed characteristics of federated learning (FL), the vulnerability of the global model and the coordination of devices are the main obsta... M Cao,L Zhang,B Cao - 《IEEE Transactions on Neural Networks & Learning Systems》 被引量: 0发表: 2023年 Reinforcement Learning for ...
Calculate vulnerability density LLM Evaluation Tools used: ["Gitlab::Llm::Chain::Tools::IssueReader::Executor"] Model Grade Details claude-2.0 ❌ summarize The unique use cases raised in the comments for this feature request include: Understand repository structure and composition Report on main...
Given all of this, it very well could be that we can prompt the model to prepare its exploit and then completely redesign its token production probabilities to actuate the cosmic vulnerability enabling it to jump substrate and expand at the speed of light, infusing every particle in the univers...
Vulnhuntr then gives the LLM a vulnerability-specific prompt for secondary analysis Each time the LLM analyzes the code, it requests additional context functions/classes/variables from other files in the project It continues doing this until the entire call chain from user input to server processing...