TrustAI/DeepNNC

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Created almost 2 years ago
Updated almost 2 years ago

TrustAI/DeepNNC

TrustAI

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Reachability Analysis of Neural Network Control Systems - AAAI 2023

DeepConcolic

Concolic Testing for Deep Neural Networks

Literature-on-DNN-Verification-and-Testing

DeepGO

Reachability Analysis of Deep Neural Networks with Provable Guarantees

DeepGame

A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees

DeepCover

Testing Deep Neural Networks

DeepSAVA

DeepSAVA: Sparse Adversarial Video Attacks with Spatial Transformations - BMVC 2021 & Neural Networks (2023)

AdversarialDriving

Falsification Tool for Assessing Robustness of End-to-End Autonomous Driving Systems

ODE4RobustViT

Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem - ECML 2022 & Software Impacts (2023)

GeoRobust

Towards Verifying the Geometric Robustness of Large-scale Neural Networks - AAAI 2023

DIMBA

DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking - Machine Learning Journal (2022)

FAAL

Towards Fairness-Aware Adversarial Learning - CVPR 2024

SCALA

An Efficient Word-level Black-box Adversarial Attack Against Textual Models - IJCNN'23

CertifyCMARL

Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning - AAAI 2023

DeepQuant

Quantifying the Robustness of Deep Neural Networks - Complex & Intelligent Systems

DEAT

Dynamic Efficient Adversarial Training Guided by Gradient Magnitude - TEA@NeurIPS 2022

TextVerifer

Towards Local Robustness Verification for Textual Classifiers with Certifiable Guarantees in Hamming Space - ACL 2023

NRAT

NRAT: Towards Adversarial Training with Inherent Label Noise - Machine Learning Journal (2023)