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Hi,
Really nice work! When I read the paper, the senario of ''Certifiable Robustness'' on graph really confused me. Could we assume that we have the clean (unperturbed) graph data in this senario? If…
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Hello,
I'm interested in running your certifiable robustness code on a small network (MobileNetV2) that I've trained on CIFAR10. I noticed you have instructions on how to train a network to then ce…
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### 🐛 Describe the bug
I would like to raise a concern about the spectral_norm parameterization.
I strongly believe that Spectral-Normalization Parameterization introduced several versions ago do…
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Hi! I tested the Vanilla Diffusion Classifier (no likelihood maximization) with apgd + dlr which is implemented by AutoAttack. The clean accuracy is 94.53%, but the Linf robust accuracy drops to aroun…
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**Is your feature request related to a problem? Please describe.**
In unit tests, we use assert statements.
A lot of our code performs a number of safety checks (pointer is not null, index is less…
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## Keyword: metric learning
### ShufaNet: Classification method for calligraphers who have reached the professional level
- **Authors:** Ge Yunfei, Diao Changyu, Li Min, Yu Ruohan, Qiu Linshan, Xu…
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1. [FairProof: Confidential and Certifiable Fairness for Neural Networks](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=-fhMN10AAAAJ&sortby=pubdate&authuser=1&citation_for_view…
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Please provide the adversarial patch generation code. Thanks.
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