Randomized Smoothing
PulseAugur coverage of Randomized Smoothing — every cluster mentioning Randomized Smoothing across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Audio classification robustness needs clear representation reporting
Researchers have identified a critical ambiguity in applying randomized smoothing for audio classification robustness certification. The standard method assumes noise is added in a single vector space, but audio process…
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New RRISE method drastically cuts cost for certified AI robustness
Researchers have developed RRISE, a novel framework for robust radius inference that significantly speeds up the process of certifying $\ell_2$ classification robustness. By training a learned surrogate model, RRISE rep…
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New defense offers certified robustness for time-series anomaly detection
Researchers have developed the first defense mechanism that provides certified robustness for time-series anomaly detection under the Dynamic Time Warping (DTW) metric. This new approach adapts the randomized smoothing …
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Laplace-Bridged Smoothing offers faster, certified AI robustness on edge devices
Researchers have developed Laplace-Bridged Smoothing (LBS), a new method to improve the efficiency and effectiveness of certified robustness for machine learning models. LBS analytically reformulates Randomized Smoothin…