Never Stop Speaking: A Denial-Of-Service Attack on End-To-End Speech Language Models

Many studies have shown that specially crafted inputs can induce large language models LLMs to generate excessively long outputs, resulting in significant computational overhead and resource consumption. While most existing denial-of-service DoS attacks target text-only LLMs, end-to-end E2E speec...

Backdoor Attacks against Speech Language Models

Large Language Models LLMs and their multimodal extensions are becoming increasingly popular. One common approach to enable multimodality is to cascade domain-specific encoders with an LLM, making the resulting model inherit vulnerabilities from all of its components. In this work, we present the...

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-Modal Retrieval-Augmented Generation

Multimodal Retrieval-Augmented Generation MRAG systems enhance LMMs by integrating external multimodal databases, but introduce unexplored privacy vulnerabilities. While text-based RAG privacy risks have been studied, multimodal data presents unique challenges. We provide the first systematic...

speech-language-therapy-jobs.org XSS vulnerability

Vulnerable URL: http://www.speech-language-therapy-jobs.org/jobboard/cands/jobresults.asp?c=1=1=Community=North"+East+England=Permanent=Band+7= Details: Description| Value ---|--- Patched:| Yes, at 01.09.2015 Latest check for patch:| 01.09.2015 01:26 GMT Vulnerability type:| XSS Vulnerability...