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This presentation by Juri Fiaschi and Ryan Baldwin, focuses on the necessity of preserving integrity and trust in AI systems amidst growing concerns over powerful adversarial attacks, which can cause models to behave erratically through small, sometimes invisible, modifications to model weights, architecture, or training data. These risks are compounded by the use of public data sets of unclear origin and the cascading effect of biases propagating when new models are trained on synthetic data generated by previous AI generations. The IoT Security Foundation (IoTSF) is a not-for-profit industry association with a mission to 'make it safe to connect' in the era of IoT. Sign up to our newsletter: https://mailchi.mp/iotsecurityfoundat... ** For more content and up-to-date news on all things IoT security click here: https://iotsecurityfoundation.org *** For upcoming Events and Webinars see here: https://iotsecurityfoundation.org/eve... **** Join Us! https://iotsecurityfoundation.org/join/