Resultados da pesquisa - Meiklejohn, Sarah

Certification of Machine Learning Models via Directional Sharpness Por Tan, Gefei, Gascon, Adria, Meiklejohn, Sarah, Raykova, Mariana

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Forsage: Anatomy of a Smart-Contract Pyramid Scheme Por Kell, Tyler, Yousaf, Haaroon, Allen, Sarah, Meiklejohn, Sarah, Juels, Ari

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Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers Por Sonnino, Alberto, Al-Bassam, Mustafa, Bano, Shehar, Meiklejohn, Sarah, Danezis, George

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VAMS: Verifiable Auditing of Access to Confidential Data Por Hicks, Alexander, Mavroudis, Vasilios, Al-Bassam, Mustafa, Meiklejohn, Sarah, Murdoch, Steven J.

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Reaching Consensus for Asynchronous Distributed Key Generation Por Abraham, Ittai, Jovanovic, Philipp, Maller, Mary, Meiklejohn, Sarah, Stern, Gilad, Tomescu, Alin

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How to Peel a Million: Validating and Expanding Bitcoin Clusters Por Kappos, George, Yousaf, Haaroon, Stütz, Rainer, Rollet, Sofia, Haslhofer, Bernhard, Meiklejohn, Sarah

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Machine Learning Models Have a Supply Chain Problem Por Meiklejohn, Sarah, Blauzvern, Hayden, Maruseac, Mihai, Schrock, Spencer, Simon, Laurent, Shumailov, Ilia

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Privacy Reasoning in Ambiguous Contexts Por Yi, Ren, Suciu, Octavian, Gascon, Adria, Meiklejohn, Sarah, Bagdasarian, Eugene, Gruteser, Marco

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Think Global, Act Local: Gossip and Client Audits in Verifiable Data Structures Por Meiklejohn, Sarah, Kalinnikov, Pavel, Lin, Cindy S., Hutchinson, Martin, Belvin, Gary, Raykova, Mariana, Cutter, Al

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SoK: SCT Auditing in Certificate Transparency Por Meiklejohn, Sarah, DeBlasio, Joe, O'Brien, Devon, Thompson, Chris, Yeo, Kevin, Stark, Emily

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Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography Por Shumailov, Ilia, Ramage, Daniel, Meiklejohn, Sarah, Kairouz, Peter, Hartmann, Florian, Balle, Borja, Bagdasarian, Eugene

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An Empirical Analysis of Privacy in the Lightning Network Por Kappos, George, Yousaf, Haaroon, Piotrowska, Ania, Kanjalkar, Sanket, Delgado-Segura, Sergi, Miller, Andrew, Meiklejohn, Sarah

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Robust, privacy-preserving, transparent, and auditable on-device blocklisting Por Thomas, Kurt, Meiklejohn, Sarah, Specter, Michael A., Wang, Xiang, Llorà, Xavier, Somogyi, Stephan, Kleidermacher, David

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HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice Por Meiklejohn, Sarah, Consolvo, Sunny, Kelley, Patrick Gage, Matthews, Tara, Peddinti, Sai Teja, Shelby, Renee, Simicich, Lenin, Thomas, Kurt

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Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates Por Liu, Enze, Kappos, George, Mugnier, Eric, Invernizzi, Luca, Savage, Stefan, Tao, David, Thomas, Kurt, Voelker, Geoffrey M., Meiklejohn, Sarah

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Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse Por Wei, Miranda, Consolvo, Sunny, Kelley, Patrick Gage, Kohno, Tadayoshi, Matthews, Tara, Meiklejohn, Sarah, Roesner, Franziska, Shelby, Renee, Thomas, Kurt, Umbach, Rebecca

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"It didn't feel right but I needed a job so desperately": Understanding People's Emotions & Help Needs During Financial Scams Por Chanenson, Jake, Matthews, Tara, Consolvo, Sunny, Kelley, Patrick Gage, McClearn, Jessica, Meiklejohn, Sarah, Roy, Abhishek, Shelby, Renee, Thomas, Kurt, Hassoun, Amelia

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Supporting Human Raters with the Detection of Harmful Content using Large Language Models Por Thomas, Kurt, Kelley, Patrick Gage, Tao, David, Meiklejohn, Sarah, Vallis, Owen, Tan, Shunwen, Bratanič, Blaž, Ferreira, Felipe Tiengo, Eranti, Vijay Kumar, Bursztein, Elie

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Understanding Help Seeking for Digital Privacy, Safety, and Security Por Thomas, Kurt, Peddinti, Sai Teja, Meiklejohn, Sarah, Matthews, Tara, Hassoun, Amelia, Srivastava, Animesh, McClearn, Jessica, Kelley, Patrick Gage, Consolvo, Sunny, Taft, Nina

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