📢 Robustness is not always at odds with accuracy! We show that adversarially robust vision encoders improve clean and robust accuracy over their base models in perceptual similarity tasks. Looking forward to presenting at SaTML @satml.org in Copenhagen next week 🇩🇰

📢 Check out our new report: we show that a recently proposed defense against adversarial attacks is not robust. We circumvent gradient masking issues of the proposed model by attacking a slightly adapted surrogate model and then transferring the perturbations.

Great milestone for www.scholar-inbox.com! 🎊