B. Biggio: "Machine Learning Security in the Age of Foundation Models" @CISPA ELLIS Summer School'25 скачать в хорошем качестве

B. Biggio: "Machine Learning Security in the Age of Foundation Models" @CISPA ELLIS Summer School'25

Talk by Battista Biggio (University of Cagliari/Pluribus One) at the CISPA ELLIS Summer School 2025 on "Trustworthy AI – Secure and Safe Foundation Models" https://cispa.de/summer-school-2025 Abstract Machine Learning Security in the Age of Foundation Models Abstract: In this talk, I will briefly review some recent advancements in machine learning security with a critical focus on the main factors that are hindering progress in this field. These include the lack of an underlying, systematic, and scalable framework to properly evaluate machine-learning models under adversarial and out-of-distribution scenarios, along with suitable tools for easing their debugging. The latter may be helpful in unveiling flaws in the evaluation process, as well as the presence of potential dataset biases and spurious features learned during training. I will finally report concrete examples of what our laboratory has been recently working on to enable a first step towards overcoming these limitations, in the context of malware detection and web security, as well as in the context of large language and multimodal models.