
Optimizing DNN computation on hardware accelerators through novel abstractions and holistic scheduling, achieving significant performance improvements over existing compilers and libraries.

Explore backdoor attacks on pre-trained encoders in self-supervised learning, examining vulnerabilities and potential security risks in AI systems.

Explore techniques for identifying and exploiting vulnerabilities in swarm algorithms, enhancing cybersecurity in distributed systems and AI applications.

Explore adversarial examples in proof-of-learning systems, examining their impact on security and potential countermeasures in this cutting-edge IEEE presentation.

Exploring techniques to generate adversarial examples for audio systems, combining genetic algorithms and gradient estimation to achieve high attack success rates while maintaining audio similarity.

Explore techniques for approximating activation functions on encrypted data, with applications in secure machine learning for image classification and representation learning.

Innovative fuzzing technique using neural networks to approximate program behavior, enabling more efficient bug discovery and higher code coverage in software testing.

Explore AI's impact on security, examining key lessons, current challenges, and future trends in this insightful keynote by Dawn Song at IEEE's Deep Learning and Security Workshop.

Explore vulnerabilities in autonomous driving perception systems and learn about physical-world attacks on multi-sensor fusion, enhancing your understanding of automotive cybersecurity.

Kritische Betrachtung der Auswirkungen künstlicher Intelligenz auf Gesellschaft und Machtstrukturen. Hinterfragt den Fortschrittsglauben und beleuchtet ethische Probleme algorithmischer Entscheidungsfindung.

Analyse des Stromverbrauchs für Heizung und Warmwasser mittels neuronaler Netzwerke. Optimierung durch Auswertung von SmartMeter-Daten und Heizungsstatus über 2,5 Jahre.

Überblick über Informationsfreiheitsanfragen zu biometrischer Überwachung in Deutschland: Erfolge, Misserfolge und Herausforderungen bei der Transparenz staatlicher Überwachungsmaßnahmen.

Kritische Analyse der überzogenen Behauptungen der Selbstfahrautoindustrie. Beleuchtet ethische Dilemmata, technische Herausforderungen und mögliche negative Auswirkungen auf Privatsphäre, Mobilität und Monopolbildung.

Kritische Analyse der Privatisierung des Bundesanzeigers und dessen Auswirkungen auf den Zugang zu öffentlichen Finanzdaten. Diskussion rechtlicher und technischer Hürden bei der Datennutzung sowie möglicher Lösungsansätze.

Explore how Corsearch scales software delivery using AI and ML-driven technologies to improve developer experiences and increase productivity in this insightful presentation from GOTO Amsterdam 2022.

Explore building conversational interfaces using Amazon Lex and AWS Lambda. Learn about chatbot development, natural language processing, and serverless architecture for creating intelligent, interactive applications.

Explore digital battery twins in e-mobility, leveraging AI and machine learning for continuous improvement and hybrid modeling approaches in the automotive industry.

Explore how Facebook applies AI and ML to enhance developer productivity, from bug prevention to code reviews. Learn about innovative tools and techniques for efficient software development at scale.

Explore NLP techniques for building domain-specific chatbots. Learn about AI, linguistics, and computer science intersections to process and analyze human languages effectively.

Explore how Quarkus enables Java for AI and cloud applications with low memory footprint and quick boot times, enhancing enterprise development for modern environments.

Explores how AI systems perpetuate and amplify societal biases, examining real-world examples of algorithmic discrimination and discussing potential solutions for building more equitable AI technologies.