The Austrian Computer Science Day (ACSD) is an annual assembly that brings together computer scientists across Austria and beyond to improve visibility of the field and foster collaboration in research and teaching. After a Corona-induced break and two virtual ACSDs, we are excited to finally meet in person again.
This year's focus light is on Trusted Computing: How are security exploits, AI hallucinations, and biased recommendations affecting our trust in computers? How can we make computing more trustworthy? Invited talks by experts in information security and machine learning discuss different aspects of trustworthiness in computer science.
5 June 2023, 10:00 – 18:30
TU Graz, Aula, Rechbauerstraße 12/I, 8010 Graz
From Graz Hbf, take tram line 1 → Mariatrost or 7 → LKH Med Uni to stop “Maiffredygasse”
09:45-10:05 | Coffee, Registration |
10:05-10:15 | Opening & Welcome with Horst Bischof |
10:15-11:15 | Daniel Gruss: Security – Can we afford to have it? Can we afford not to have it? |
Mario Lins: Supply-chain security – Have you lost your signing key? | |
11:15-11:45 | Coffee |
11:45-12:45 | Christoph Lampert: Trustworthy Machine Learning – The Quest for Robustness |
Young Experts: Minute Madness | |
12:45-14:00 | Lunch |
14:00-14:15 | Award Ceremony: OCG Förderpreis FH |
14:15-15:15 | Martina Lindorfer: Watching the Watchmen – Shedding Light on Data Collection in Mobile Apps |
Markus Schedl: Trustworthy Recommender Systems | |
15:15-15:45 | Coffee |
15:45-17:00 | Ozan Özdenizci: Building Robustness into Embedded Machine Intelligence |
Speakers' Panel: What can we entrust to computers? | |
17:00-17:30 | Closing / Break |
17:30-19:00 | Livestream of the Vienna Gödel Lecture |
Carla P. Gomes: AI for Scientific Discovery and a Sustainable Future |
Christoph Lampert is a professor at the Institute of Science and Technology Austria (ISTA). There, he leads the research group for Machine Learning and Computer Vision, and since 2019 he is also the head of ISTA's ELLIS unit. He received the PhD degree in mathematics from the University of Bonn in 2003. In 2010 he joined the Institute of Science and Technology Austria (ISTA) first as an Assistant Professor and since 2015 as a Professor. His research on computer vision and machine learning has won international and national awards, including a best paper prize at CVPR 2008. In 2012 he was awarded an ERC Starting Grant (consolidator phase) by the European Research Council. He currently is an Editor of the International Journal of Computer Vision (IJCV) and Action Editor of the Journal for Machine Learning Research (JMLR), and he used to be Associate Editor in Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Martina Lindorfer is a tenure-track assistant professor at TU Wien, which she joined at the end of 2018, and a key researcher at SBA Research, the largest research center in Austria which exclusively addresses information security. She received her PhD from TU Wien in 2016 and spent two years as a postdoc at the University of California, Santa Barbara. Her research and outreach activities have been recognized with the ERCIM Cor Baayen Young Researcher Award, the ACM CyberW Early Career Award for Women in Cybersecurity Research, as well as the Hedy Lamarr Award from the City of Vienna. Her research focuses on applied systems security and privacy, with a special interest in automated static and dynamic analysis techniques for the large-scale analysis of applications for malicious behavior, security vulnerabilities, and privacy leaks. Building on her background on malware analysis, she currently focuses on the analysis of mobile apps to enable transparency and accountability in the way they process and share private information. The resulting tools help uncover new and unexpected ways in which apps are violating users' privacy expectations.
Daniel Gruss is an associate professor in Information Security at Graz University of Technology. Daniel researches software-based attacks and defenses, mainly on microarchitectural layers in hardware and software. He implemented the first remote fault attack running in a website, known as Rowhammer.js. His research team was one of the teams that found the Meltdown and Spectre bugs published in early 2018 and designed the software patch (KAISER) against Meltdown which is now integrated in every operating system. In 2022 he was awarded a highly prestigious ERC Grant to research the foundations of sustainable security. He has been involved in teaching undergraduate courses since 2009. He frequently speaks at top international venues, such as Black Hat, Usenix Security, IEEE S&P, ACM CCS, Chaos Communication Congress, and others.
Markus Schedl is a full professor at the Institute of Computational Perception at JKU Linz, leading the Multimedia Mining and Search group. In addition, he is head of the Human-centered AI group at the Linz Institute of Technology (LIT) AI Lab. He graduated in Computer Science from the Vienna University of Technology and earned his Ph.D. from the Johannes Kepler University Linz. Markus further studied International Business Administration at the Vienna University of Economics and Business Administration as well as at the Handelshögskolan of the University of Gothenburg, which led to a Master's degree. His main research interests include recommender systems, information retrieval, natural language processing, multimedia, machine learning, and web mining. He (co-)authored more than 250 refereed articles in journals and conference proceedings as well as several book chapters. Markus further spent several guest lecturing stays at the Universitat Pompeu Fabra, Barcelona, Spain, the Utrecht University, the Netherlands, the Queen Mary, University of London, UK, the Kungliga Tekniska Högskolan, Stockholm, Sweden, and the Reykjavík University, Iceland.
Ozan Özdenizci is a postdoctoral researcher at the Institute of Theoretical Computer Science at TU Graz. He is also jointly affiliated with the TU Graz - SAL Dependable Embedded Systems Lab of Silicon Austria Labs. He received his Ph.D. degree from Northeastern University (Boston, MA, USA), in 2020. Prior to his completing his doctoral studies, he was conducting research under affiliations with the Mitsubishi Electric Research Laboratories (Cambridge, MA, USA), Max Planck Institute for Intelligent Systems (Tübingen, Germany), and Sabancı University (Istanbul, Turkey). His research is focused in the domains of robustness, security and efficiency in machine learning, as well as statistical signal processing with biomedical applications. His research is published at top venues of machine learning, including the International Conference on Machine Learning (ICML), the IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), and the IEEE Transactions on Pattern Analysis and Machine Intelligence.
Mario Lins is a lecturer and PhD student at the Institute of Networks and Security at Johannes Kepler University (JKU) Linz. His main research interests are supply-chain security and dependency trees with a focus on transparent and verifiable systems. One of the main challenges Mario is addressing is the mitigation of trust anchors by incorporating transparency controls, based on tamper-resistance and verifiable data structures. He received his Master's degree in Computer Science from the University of Technology Graz and worked for an international company as a software developer and later took over the role as cyber-security officer. He is also active in teaching and the lecturer for Systems Security and System Administration at JKU.
Livestream of the Vienna Gödel Lecture
Carla P. Gomes is an exceptional figure in Artificial Intelligence and Computational Sustainability. She is the Ronald C. and Antonia V. Nielsen Professor of Computing and Information Science, the director of the Institute for Computational Sustainability at Cornell University, and co-director of the Cornell University AI for Science Institute. With a Ph.D. in computer science from the University of Edinburgh, Gomes has dedicated her career to the pursuit of knowledge in artificial intelligence, particularly in large-scale constraint reasoning, optimization, and machine learning. Her research has had a profound impact on various areas of science. Gomes has become deeply immersed in research on scientific discovery for a sustainable future and, more generally, in research in the new field of Computational Sustainability. For pioneering this new field and her transformative contributions to AI, she was honored with the Feigenbaum Prize by the Association for the Advancement of Artificial Intelligence (AAAI) in 2021. Computational Sustainability aims to develop computational methods to help solve some of the key environmental, economic, and societal challenges to help put us on a path toward a sustainable future. Gomes’s passion lies in leveraging the power of computational methods to address critical environmental, economic, and social challenges. Gomes’s groundbreaking work has been widely recognized and admired. She has (co-)authored over 200 publications, including influential papers in prestigious journals like Nature and Science. She was the lead PI of two NSF Expeditions in Computing awards. Her research has garnered numerous accolades, including several best paper awards and the ACM/AAAI Allen Newell Award, for contributions to bridging computer science and other disciplines in 2022. Additionally, she was named the “most influential Cornell professor” by a Merrill Presidential Scholar (2020). Gomes is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a Fellow of the Association for Computing Machinery (ACM), and a Fellow of the American Association for the Advancement of Science (AAAS).
Maria Eichlseder
Graz University of Technology
Inffeldgasse 16a
8010 Graz
maria.eichlseder@iaik.tugraz.at
Imprint