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Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining
Leveraging these generative hard negative samples, we significantly enhance VLMs' performance in tasks involving multimodal compositional reasoning.
Introducing Model Inversion Attacks on Automatic Speaker Recognition
To the best of our knowledge, our work is the first one extending MI attacks to audio data, and our results highlight the security risks resulting from the extraction of the biometric data in that setup.
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