Topic: robustness-verification Goto Github
Some thing interesting about robustness-verification
Some thing interesting about robustness-verification
robustness-verification,[CCS 2021] TSS: Transformation-specific smoothing for robustness certification
Organization: ai-secure
robustness-verification,certifying robustness of neural network via convex optimization
User: alwaysbyx
robustness-verification,This code base is intended to serve as a starting point for interested researchers or practitioners to extend or apply the robustness verification portion of the author's Master's thesis " GUM-compliant neural-network robustness verification".
User: bjoernludwigptb
robustness-verification,[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)
User: chenhongge
Home Page: https://arxiv.org/abs/1906.03849
robustness-verification,DPLL(T)-based Verification tool for DNNs
Organization: dynaroars
robustness-verification,Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
User: huanzhang12
Home Page: https://openreview.net/pdf?id=Skxuk1rFwB
robustness-verification,Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms) [Do not use this repo, use https://github.com/Verified-Intelligence/auto_LiRPA instead]
User: huanzhang12
Home Page: https://github.com/Verified-Intelligence/auto_LiRPA
robustness-verification,β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification
User: kaidixu
Home Page: https://arxiv.org/pdf/2103.06624.pdf
robustness-verification,Formal Verification of Neural Feedback Loops (NFLs)
Organization: neu-autonomy
robustness-verification,Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms [NeurIPS 2020]
User: saralajew
robustness-verification,This github repository contains the official code for the papers, "Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses" and "One Pixel Attack for Fooling Deep Neural Networks"
User: shashankkotyan
Home Page: https://arxiv.org/abs/1906.06026
robustness-verification,This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
User: shashankkotyan
Home Page: https://arxiv.org/abs/1906.11667
robustness-verification,[ICLR 2020] Code for paper "Robustness Verification for Transformers"
User: shizhouxing
Home Page: https://openreview.net/pdf?id=BJxwPJHFwS
robustness-verification,Benchmark for formally verifying ViTs
User: shizhouxing
robustness-verification,[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️⚠️
User: sungyoon-lee
Home Page: https://papers.nips.cc/paper/2021/file/07c5807d0d927dcd0980f86024e5208b-Paper.pdf
robustness-verification,The official repo for GCP-CROWN paper
User: tcwangshiqi-columbia
robustness-verification,Sampling-based Scalable Quantitative Verification for DNNs
User: teobaluta
robustness-verification,An algorithm to calculate the convex hull of ReLU function for neural network verification.
Organization: uq-trust-lab
robustness-verification,alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
Organization: verified-intelligence
robustness-verification,auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
Organization: verified-intelligence
Home Page: https://arxiv.org/pdf/2002.12920
robustness-verification,Neural Network Verification Software Tool
Organization: verivital
Home Page: http://www.verivital.com
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