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portfolio
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publications
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity
Sahar Abdelnabi, Katharina Krombholz, and Mario Fritz. CCS'20
[Paper] [Video] [Code] [Page]Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
Sahar Abdelnabi and Mario Fritz. S&P'21
[Paper] [Video] [Short Video] [Code]What’s in the box?!: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Sahar Abdelnabi and Mario Fritz. Moving Target Defense Workshop, in conjunction with CCS'21
[Paper] [Code]Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Ning Yu*, Vladislav Skripniuk*, Sahar Abdelnabi, and Mario Fritz. ICCV'21 (Oral)
[Paper] [Video] [Code]Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
Sahar Abdelnabi, Rakibul Hasan, and Mario Fritz. CVPR'22
[Paper] [Video] [Code] [Page]Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
Sahar Abdelnabi and Mario Fritz. USENIX Security'23
[Paper] [Code]Not what you’ve signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Kai Greshake*, Sahar Abdelnabi*, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz. AISec'23 workshop (co-located with CCS. Oral presentation. Best Paper Award)
[Paper] [Code]Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz. NeurIPS'24 (datasets and benchmarks)
[Paper] [Code]Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
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-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr. NeurIPS'24 (datasets and benchmarks - Spotlight)
[Paper]Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert. ICLR'25
[Paper]Hypothesizing Missing Causal Variables with LLMs
Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz. Causality and Large Models NeurIPS'24 Workshop
[Paper]Get my drift? Catching LLM Task Drift with Activation Deltas
Sahar Abdelnabi*, Aideen Fay*, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd. SaTML'25
[Paper] [Code]talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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