Oct 10, 2024 Our paper Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations was accepted at the AdvML Frontiers Workshop at NeurIPS 2024! Sep 26, 2024 Our paper Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models was accepted at NeurIPS 2024! Jul 4, 2024 Our paper Defending Our Privacy With Backdoors got accepted at ECAI 2024! Jul 3, 2024 Our paper Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models got accepted at the ICML 2024 Workshop on Foundation Models in the Wild! Jun 11, 2024 Our paper Does CLIP Know My Face? got accepted at the Journal of Artificial Intelligence Research! Apr 30, 2024 Our paper Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis was awarded with the best paper award at the ICLR 2024 Workshop on Navigating and Addressing Data Problems for Foundation Models (DPFM). Oct 27, 2023 Our papers Defending Our Privacy With Backdoors and Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data got accepted at the NeurIPS 2023 Workshop on Backdoors in Deep Learning. Sep 11, 2023 We gave a talk at the AISola conference titled “Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models”. Sep 11, 2023 Our paper SEGA: Instructing Text-to-Image Models using Semantic Guidance got accepted at NeurIPS 2023. Jul 17, 2023 Our paper Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis got accepted at ICCV 2023. Mar 15, 2023 Our paper Combining AI and AM – Improving Approximate Matching through Transformer Networks got accepted at DFRWS USA 2023.