18th International Conference on Applied Cryptography and Network Security

Keynotes

Title: Global communication guarantees in the presence of adversaries.

Abstract: DDoS attacks have been plaguing the Internet for over 20 years. For every defense mechanism invented, attackers find a new way to circumvent it. Is it possible to fundamentally prevent DDoS attacks and achieve global communication guarantees? Since the Internet is a public resource, what does it even mean to prevent DDoS -- since the adversary can also claim to be communicating "legitimately". In this talk we will unravel the different forms of DDoS attacks by first discussing how to construct meaningful definitions, and second showing how to achieve communication guarantees.

Bio: Adrian Perrig is a Professor at the Department of Computer Science at ETH Zürich, Switzerland, where he leads the network security group. He is also a Distinguished Fellow at CyLab, and an Adjunct Professor of Electrical and Computer Engineering at Carnegie Mellon University. From 2002 to 2012, he was a Professor of Electrical and Computer Engineering, Engineering and Public Policy, and Computer Science (courtesy) at Carnegie Mellon University, becoming Full Professor in 2009. From 2007 to 2012, he served as the technical director for Carnegie Mellon's Cybersecurity Laboratory (CyLab). He earned his MS and PhD degrees in Computer Science from Carnegie Mellon University, and spent three years during his PhD at the University of California at Berkeley. He received his BSc degree in Computer Engineering from EPFL. Adrian's research revolves around building secure systems -- in particular his group is working on the SCION secure Internet architecture. He is a recipient of the NSF CAREER award in 2004, IBM faculty fellowships in 2004 and 2005, the Sloan research fellowship in 2006, the Security 7 award in the category of education by the Information Security Magazine in 2009, the Benjamin Richard Teare teaching award in 2011, the ACM SIGSAC Outstanding Innovation Award in 2013. He is an IEEE senior member and became an ACM Fellow in 2017.

Title: Is AI taking over the world? No, but it’s making it less private.

Abstract: This talk highlights challenges and opportunities for trustworthy AI with a focus on privacy attacks and countermeasures. AI and machine learning have no future if their privacy and security concerns are not addressed. Machine learning models could hide malicious code or backdoors, and leak private information about users. We will explore inference attacks against machine learning models and frameworks (e.g., federated learning), and set out the requirements for privacy-preserving AI systems.

Bio: Giuseppe Ateniese is the Farber Endowed Chair in Computer Science and department chair at Stevens Institute of Technology. He was with Sapienza-University of Rome (Italy) and Assistant/Associate Professor at Johns Hopkins University (USA), and one of the founders of the JHU Information Security Institute. He was a researcher at IBM Zurich Research lab (Switzerland) and scientist at the Information Sciences Institute of the University of Southern California (USA). He also briefly worked as visiting professor at Microsoft in Redmond (USA). He received the NSF CAREER Award for his research in privacy and security, and the Google Faculty Research Award, the IBM Faculty Award, and the IEEE CISTC Technical Recognition Award for his research on cloud security. He has contributed to areas such as proxy re-cryptography, anonymous communication, two-party computation, secure storage, and provable data possession. He is currently working on cloud security and machine learning applied to security and intelligence issues for which he received an IBM SUR Award. He is also investigating new security applications for decentralized computing based on the blockchain/bitcoin technology.