ZhaoyangLyu / POPQORNLinks
An Algorithm to Quantify Robustness of Recurrent Neural Networks
☆49Updated 5 years ago
Alternatives and similar repositories for POPQORN
Users that are interested in POPQORN are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS 2019 Paper☆48Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 3 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 7 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- ☆48Updated 4 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆101Updated 4 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Updated 7 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 6 years ago
- ☆18Updated 6 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 6 years ago
- ☆88Updated last year
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆42Updated 6 years ago
- Code for Stability Training with Noise (STN)☆22Updated 5 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness