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Probing anchor losses in AlN-on-Si contour mode MEMS resonators through laser Doppler vibrometry.

, , , , , and . IEEE SENSORS, page 1-3. IEEE, (2016)

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On the Adversarial Robustness of Multi-Modal Foundation Models., and . ICCV (Workshops), page 3679-3687. IEEE, (2023)Identifying Systematic Errors in Object Detectors with the SCROD Pipeline., , and . ICCV (Workshops), page 4092-4101. IEEE, (2023)Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free., , and . NeurIPS, (2022)Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks., , and . NeurIPS, page 30181-30195. (2021)Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs., , and . NeurIPS, page 14848-14857. (2019)Provably robust boosted decision stumps and trees against adversarial attacks., and . NeurIPS, page 12997-13008. (2019)Provably Adversarially Robust Nearest Prototype Classifiers., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22361-22383. PMLR, (2022)Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2206-2216. PMLR, (2020)Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9155-9166. PMLR, (2020)The loss surface and expressivity of deep convolutional neural networks., and . ICLR (Workshop), OpenReview.net, (2018)