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08/02/2023
A Large-Scale Study of Phishing PDF Documents
Phishing PDFs are malicious PDF documents that do not embed malware but ...
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06/08/2023
From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency
We outline a planned experiment to investigate if personal data (e.g., d...
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02/23/2023
More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models
We are currently witnessing dramatic advances in the capabilities of Lar...
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09/07/2022
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
Mis- and disinformation are now a substantial global threat to our secur...
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11/30/2021
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...
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02/09/2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Machine learning models are now widely deployed in real-world applicatio...
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09/07/2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
Recent advances in natural language generation have introduced powerful ...
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07/16/2020
Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data
Photorealistic image generation is progressing rapidly and has reached a...
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09/01/2019