Adversarial Hubness in Multi-Modal Retrieval
Hubness is a phenomenon in high-dimensional vector spaces where a single point from the
natural distribution is unusually close to many other points. This is a well-known problem in …
natural distribution is unusually close to many other points. This is a well-known problem in …
Unleashing worms and extracting data: Escalating the outcome of attacks against rag-based inference in scale and severity using jailbreaking
In this paper, we show that with the ability to jailbreak a GenAI model, attackers can escalate
the outcome of attacks against RAG-based GenAI-powered applications in severity and …
the outcome of attacks against RAG-based GenAI-powered applications in severity and …
Adversarial Search Engine Optimization for Large Language Models
Large Language Models (LLMs) are increasingly used in applications where the model
selects from competing third-party content, such as in LLM-powered search engines or …
selects from competing third-party content, such as in LLM-powered search engines or …