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2020 – today
- 2024
[c11]Rebecca Weil, Sahar Abdelnabi, Mario Fritz, Rakibul Hasan:
Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources. EuroS&P Workshops 2024: 504-518- [c10]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. NeurIPS 2024 - [i15]Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz:
Exploring Value Biases: How LLMs Deviate Towards the Ideal. CoRR abs/2402.11005 (2024) - [i14]Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert:
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? CoRR abs/2403.06833 (2024) - [i13]Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Are you still on track!? Catching LLM Task Drift with Activations. CoRR abs/2406.00799 (2024) - [i12]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR abs/2406.07954 (2024) - [i11]Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz:
Hypothesizing Missing Causal Variables with LLMs. CoRR abs/2409.02604 (2024) - 2023
- [c9]Giada Stivala
, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino:
From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! ACSAC 2023: 14-28 - [c8]Sahar Abdelnabi, Kai Greshake, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz:
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. AISec@CCS 2023: 79-90 - [c7]Sahar Abdelnabi, Mario Fritz:
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. USENIX Security Symposium 2023: 6719-6736 - [i10]Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz:
More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models. CoRR abs/2302.12173 (2023) - [i9]Protik Bose Pranto, Waqar Hassan Khan, Sahar Abdelnabi, Rebecca Weil, Mario Fritz, Rakibul Hasan:
From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency. CoRR abs/2306.04883 (2023) - [i8]Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino:
A Large-Scale Study of Phishing PDF Documents. CoRR abs/2308.01273 (2023) - [i7]Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz:
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. CoRR abs/2309.17234 (2023) - 2022
- [c6]Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CVPR 2022: 14920-14929 - [i6]Sahar Abdelnabi, Mario Fritz:
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. CoRR abs/2209.03755 (2022) - 2021
- [c5]Sahar Abdelnabi, Mario Fritz:
What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. MTD@CCS 2021: 3-12 - [c4]Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz:
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. ICCV 2021: 14428-14437 - [c3]Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. SP 2021: 121-140 - [i5]Sahar Abdelnabi, Mario Fritz:
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. CoRR abs/2102.05104 (2021) - [i4]Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CoRR abs/2112.00061 (2021) - 2020
- [c2]Sahar Abdelnabi, Katharina Krombholz, Mario Fritz:
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity. CCS 2020: 1681-1698 - [i3]Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz:
Black-Box Watermarking for Generative Adversarial Networks. CoRR abs/2007.08457 (2020) - [i2]Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. CoRR abs/2009.03015 (2020)
2010 – 2019
- 2019
- [c1]Sahar Abdelnabi, Michael Xuelin Huang, Andreas Bulling:
Towards High-Frequency SSVEP-Based Target Discrimination with an Extended Alphanumeric Keyboard. SMC 2019: 4181-4186 - [i1]Sahar Abdelnabi, Katharina Krombholz, Mario Fritz:
WhiteNet: Phishing Website Detection by Visual Whitelists. CoRR abs/1909.00300 (2019)
Coauthor Index
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