☆27Feb 1, 2023Updated 3 years ago
Alternatives and similar repositories for Socrates
Users that are interested in Socrates are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- White-box Fairness Testing through Adversarial Sampling☆14Apr 16, 2021Updated 5 years ago
- Prolog specification of TensorFlow layers☆13Jun 12, 2023Updated 3 years ago
- Source code, datasets and models of the paper "Efficient White-box Fairness Testing through Gradient Search" by Lingfeng Zhang, Yueling Z…☆11Jul 24, 2021Updated 4 years ago
- ☆16Apr 27, 2024Updated 2 years ago
- ☆21May 31, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆10Dec 27, 2022Updated 3 years ago
- Code release for RobOT (ICSE'21)☆15Dec 5, 2022Updated 3 years ago
- Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-c…☆41Mar 24, 2025Updated last year
- Code for "Astraea: Grammar-based Fairness Testing"☆10Jan 7, 2022Updated 4 years ago
- ☆19Aug 18, 2019Updated 6 years ago
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27May 1, 2024Updated 2 years ago
- MODE: Automated Neural Network Model Debugging via State Differential Analysis and Input Selection - Replication Project☆16Mar 24, 2023Updated 3 years ago
- Learning Certified Individually Fair Representations☆25Nov 7, 2020Updated 5 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆96Oct 18, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems (https://arxiv.org/pdf/190…☆19Apr 13, 2023Updated 3 years ago
- PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)☆12Dec 24, 2023Updated 2 years ago
- The released code of Neurify in NIPS 2018☆51Dec 8, 2022Updated 3 years ago
- ☆37Jan 15, 2026Updated 4 months ago
- ☆10Apr 21, 2023Updated 3 years ago
- A series of BERT and Albert model checkpoints trained to reduce gendered correlations in pre-training☆11Oct 22, 2020Updated 5 years ago
- ETH Robustness Analyzer for Deep Neural Networks☆346Jan 27, 2023Updated 3 years ago
- Code for the NeurIPS 2020 paper Efficient Exact Verification of Binarized Neural Networks☆13Jun 30, 2022Updated 3 years ago
- Material (mostly slides) for a graduate course on (formal) software analysis.☆34Jul 15, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆10Mar 24, 2023Updated 3 years ago
- 复现了下Neural Cleanse这篇论文,真的是简单而有效,发在了okaland☆32May 25, 2021Updated 5 years ago
- ☆10Jan 3, 2023Updated 3 years ago
- implementation for "learning weighted deterministic automata from queries and counterexamples", neurips 2019☆18Jan 8, 2020Updated 6 years ago
- An interpretable network to compute the Shapley values in a single forward propagation.☆17May 24, 2023Updated 3 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Apr 24, 2020Updated 6 years ago
- Extracting minimal DFA's from well-trained RNN's☆11Nov 26, 2018Updated 7 years ago
- ☆104Jul 8, 2020Updated 5 years ago
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆116Feb 13, 2026Updated 4 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code and data release for CCS'2022 paper "Understanding IoT Security from a Market-Scale Perspective"☆12Apr 13, 2023Updated 3 years ago
- A collection of dnn test input prioritizers often used as benchmarks in recent literature.☆19Feb 3, 2023Updated 3 years ago
- Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."☆10Nov 26, 2022Updated 3 years ago
- ☆12Mar 5, 2024Updated 2 years ago
- Intersectional bias in hate speech and abusive language datasets☆15Jan 25, 2024Updated 2 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Dec 27, 2020Updated 5 years ago
- A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees☆20Dec 16, 2020Updated 5 years ago