Search Results for author:
Found 10 papers, 6 papers with code
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Instruction-tuned Large Language Models (LLMs) have achieved breakthrough results, opening countless new possibilities for many practical applications.
Exploring Value Biases: How LLMs Deviate Towards the Ideal
We study this sampling of LLMs in light of value bias and show that the sampling of LLMs tends to favour high-value options.
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games
There is a growing interest in using Large Language Models (LLMs) as agents to tackle real-world tasks that may require assessing complex situations.
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Large Language Models (LLMs) are increasingly being integrated into various applications.
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
In this work, we assume an adversary that automatically tampers with the online evidence in order to disrupt the fact-checking model via camouflaging the relevant evidence or planting a misleading one.
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
Misinformation is now a major problem due to its potential high risks to our core democratic and societal values and orders.
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Machine learning models are now widely deployed in real-world applications.
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
In this paper, we study natural language watermarking as a defense to help better mark and trace the provenance of text.
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Thus, we seek a proactive and sustainable solution on deepfake detection, that is agnostic to the evolution of generative models, by introducing artificial fingerprints into the models.
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity
Phishing websites are still a major threat in today's Internet ecosystem.
