Higher|Order Certification for Randomized Smoothing

Higher-Order Certification For Randomized Smoothing

We propose a framework to improve the certified safety region for these smoothed classifiers without changing the underlying smoothing scheme.

Higher-Order Certification for Randomized Smoothing

2) We provide a method to calcu- late the certified safety region using zeroth-order and first-order information for. Gaussian-smoothed classifiers. We also ...

(PDF) Higher-Order Certification for Randomized Smoothing

PDF | Randomized smoothing is a recently proposed defense against adversarial attacks that has achieved SOTA provable robustness against ...

Higher-Order Certification for Randomized Smoothing - arXiv

Using these properties, we give formulas for calculating certified radii for gaussian-smoothed classifiers under `p threat models and their ...

Higher-Order Certification for Randomized Smoothing

This work proposes a framework to improve the certified safety region for Gaussian-smoothed classifiers without changing the underlying ...

Higher-order certification for randomized smoothing

Abstract. Randomized smoothing is a recently proposed defense against adversarial attacks that has achieved state-of-the-art provable robustness ...

Intriguing Properties of Input-Dependent Randomized Smoothing

Higher-order certification for randomized smoothing. Advances in Neural Information Processing. Systems, 33, 2020b. Raghunathan, A., Steinhardt, J., and ...

Hierarchical Randomized Smoothing - OpenReview

... order to get tighter robustness certificates than structure-blind methods. It is interesting that the proposed approach generalizes both conventional ...

Higher-Order Certification For Randomized Smoothing

Randomized smoothing is a recently proposed defense against adversarial attacks that has achieved SOTA provable robustness against ...

Higher-order randomized smoothing certification (solid curves ...

Download scientific diagram | Higher-order randomized smoothing certification (solid curves) compared with standard Neyman-Pearson-based certification ...

Promoting Robustness of Randomized Smoothing: Two Cost ... - arXiv

... training techniques on the base classifier in order to boost the robustness of the resulting smoothed classifier. In this work, we propose ...

RANCER: Non-Axis Aligned Anisotropic Certification With ...

[21] proposed higher-order certification with a method to calculate the ... Higher-order certification for randomized smoothing. Neural Information ...

INCREMENTAL RANDOMIZED SMOOTHING CERTIFICATION

Jacob Laurel, Rem Yang, Shubham Ugare, Robert Nagel, Gagandeep Singh, and Sasa Misailovic. A general construction for abstract interpretation of higher-order ...

Projected Randomized Smoothing for Certified Adversarial ...

In contrast to your concern, our work actually certifies robustness against adversaries with a higher attack capability compared to much of the ...

Higher-Order Certification For Randomized Smoothing

Higher-Order Certification For Randomized Smoothing. Dec 6, 2020. Speakers. JM · Jeet Mohapatra. Speaker · 0 followers. Follow. CK · Ching-Yun Ko.

Input-Specific Robustness Certification for Randomized Smoothing

2) ISS consistently achieves a higher average certified radius when compared to the mainstream acceleration IAS. Related Works. Certified ...

Double Sampling Randomized Smoothing

Higher-order certification for randomized smoothing. In Larochelle, H ... Higher-order randomized smoothing certification (solid curves) compared with ...

Certified Adversarial Robustness via Randomized Smoothing - GitHub

This repository contains code and trained models for the paper Certified Adversarial Robustness via Randomized Smoothing by Jeremy Cohen, Elan Rosenfeld, and ...

Tight Second-Order Certificates for Randomized Smoothing

A variant of Gaussian smoothing is developed, called Gaussian dipole smoothing, which provides similar bounds to randomized smoothing with gradient ...

Randomized smoothing for certified robustness - YouTube

We give a short proof of the Cohen-Rosenfeld-Kolter theorem on the certified robustness of randomized smoothing.