News
ATHENE Startup Award UP23@it-sa finalists in the spotlight: enclaive
The startup enclaive is one of the five finalists in the race for this year's ATHENE Startup Award UP23@it-sa. We met up with the startup, which aims to make confidential computing even more secure, for an interview.
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Five cybersecurity start-ups in the final of the ATHENE Startup Award UP23@it-sa
In the race for the ATHENE Startup Award UP23@it-sa, five companies are heading for the home stretch: Enclaive, Quantum Optics Jena, KeeQuant, Mondoo and ZenAdmin have been selected by the expert jury for the final pitch event. The pitch for the coveted prize as the best cybersecurity start-up from the DACH region will take place on 11 October at the it-sa Expo&Congress in Nuremberg.
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AI against money laundering
In a new research project, researchers at Fraunhofer SIT are developing a solution for the automated detection of illegal financial flows - including testable minimum requirements for the use of artificial intelligence in sensitive areas.
read moreStart of the application phase for ATHENE Startup Award UP23@it-sa
From July 1 to 31, 2023, startups from the DACH region can apply for the ATHENE Startup Award UP23@it-sa. Startups from Germany, Austria and Switzerland that deal with IT security or data protection are eligible to participate. The online application is possible at: www.itsa365.de/up-award.
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Accepted papers on ACM SIGMOD 2023
Three papers involving ATHENE researchers were accepted at the A*-ranked 2023 ACM SIGMOD/PODS Conference. The annual conference is a leading international forum for database researchers, practitioners, developers, and users to explore innovative ideas and results and to share techniques, tools, and experiences. The conference offers a comprehensive technical program with presentations from research and industry, tutorials, demos and workshops.
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ATHENE researchers publish their work in the journal IEEE Transactions on Technology and Society
ATHENE researchers at TU Darmstadt are working on a privacy-friendly approach for state actors to compare exploit inventories without disclosing national secrets. This approach can be used to enhance cybersecurity for civilians, as known exploits that are identified by multiple states can be released for remediation. The method provides a practical solution to cyber arms control. The research was published in the IEEE Transactions on Technology and Society journal and was awarded the 2022 CROSSING Collaboration Award.
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Successful submission to PLDI 2023
ATHENE researchers are placing a paper at the highly ranked 44th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2023). The conference is the leading forum in the field of programming language and programming systems research.
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Successful submissions at ICSE 2023
Two papers written in collaboration with ATHENE researchers were accepted at the 45th IEEE/ACM International Conference on Software Engineering. ICSE, the IEEE/ACM International Conference on Software Engineering, is the leading conference on software engineering. Since 1975, ICSE has provided a forum where researchers, practitioners, and educators come together to present and discuss the latest innovations, trends, experiences, and issues in the field of software engineering.
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Eleven innovative cybersecurity startups in next round of accelerator program
The accelerator program "SpeedUpSecure" promotes startups with innovative solutions in the field of cybersecurity. Eleven startups qualified for the program this year and will undergo a five-month intensive and targeted training program starting in early May. They will have access to a strong network of experts from business and research, who will be involved in the accelerator as mentors, jurors, coaches or with keynote speeches.
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ChatGPT or human author?
ATHENE researchers at Fraunhofer SIT are researching ways to help recognize texts created with ChatGPT. Among other things, the text forensics experts are working with a self-developed method for authorship verification, COAV: Originally, it was used to detect plagiarism in scientific papers, for example. Since COAV compares texts on a stylistic basis, this method can also be used to identify a specific "author," namely ChatGPT. This is used to calculate the distances between texts using similarities of text modules and typical consecutive letter strings: Is the text closer to GPT or closer to a human?
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