NDSS 2025 - IMPACT 2025, Session 3 and Keynote 2 скачать в хорошем качестве

NDSS 2025 - IMPACT 2025, Session 3 and Keynote 2

SESSION Session 3: Cryptography and Keynote: Amir Houmansadr, Associate Professor of Computer Science, UMass Amherst Workshop on Innovation in Metadata Privacy: Analysis and Construction Techniques (IMPACT) 2025, co-located with the Network and Distributed System Security (NDSS) Symposium 2025, held from 24 February to 28 February 2025 in San Diego, California. https://www.ndss-symposium.org/ndss-p... PAPERS Decoupling Permission Management from Cryptography for Privacy-Preserving Systems Ruben De Smet (Department of Engineering Technology (INDI), Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel), Tom Godden (Department of Engineering Technology (INDI), Vrije Universiteit Brussel), Kris Steenhaut (Department of Engineering Technology (INDI), Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel), An Braeken (Department of Engineering Technology (INDI), Vrije Universiteit Brussel) Query Privacy in Data Spaces Shuwen Liu (School of Data Science, The Chinese University of Hong Kong, Shenzhen, China), George C. Polyzos (School of Data Science, The Chinese University of Hong Kong, Shenzhen, China and ExcID P.C., Athens, Greece) Keynote: Fighting Internet Censorship: Challenges and Opportunities Internet censorship is a significant threat to the freedom of speech and open access to information across the world. While there exists an arsenal of tools to circumvent Internet censorship, they fall short in helping censored users effectively and reliably. In this talk, I will present insights from a decade of research on combating Internet censorship, highlighting the key technical and non-technical challenges, as well as promising directions for future advancements. Speaker's Biography: Amir Houmansadr is an Associate Professor of computer science at UMass Amherst. He received his Ph.D. from the University of Illinois at Urbana-Champaign, and was a postdoctoral researcher at the University of Texas at Austin. Amir is broadly interested in the security and privacy of networked/AI systems. To that end, he designs and deploys privacy-enhancing technologies, analyzes network protocols and services (e.g., messaging apps and machine learning APIs) for privacy leakage, and performs theoretical analysis to derive bounds on privacy (e.g., using game theory and information theory). Amir has received several awards including the 2013 IEEE S&P Best Practical Paper Award, a 2015 Google Faculty Research Award, a 2016 NSF CAREER Award, a 2022 DARPA Young Faculty Award (YFA), the 2023 Best Practical Paper Award from the FOCI Community, the first place at CSAW 2023 Applied Research Competition, a Distinguished Paper Award from ACM CCS 2023, a 2024 Applied Networking Research Prize (ANRP), and a 2024 DARPA Directors Award. ABOUT NDSS SYMPOSIUM The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies. https://www.ndss-symposium.org/ #NDSS #NDSS25 #NDSS2025 #InternetSecurity