idramalab / latex-101Links
☆21Updated 2 years ago
Alternatives and similar repositories for latex-101
Users that are interested in latex-101 are comparing it to the libraries listed below
Sorting:
- Deadline countdowns for academic conferences in Security and Privacy☆745Updated last week
- Code for "Astraea: Grammar-based Fairness Testing"☆10Updated 3 years ago
- A tool for estimating a system's information leakage via Machine Learning☆10Updated last year
- A single script to facilitate submitting papers to ArXiv.org☆18Updated 7 years ago
- Papers on fairness in NLP☆448Updated last year
- ☆14Updated last year
- ☆147Updated 10 months ago
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆211Updated 3 months ago
- ☆26Updated 3 years ago
- ☆31Updated 2 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 3 years ago
- Training data extraction on GPT-2☆191Updated 2 years ago
- Machine Learning & Security Seminar @Purdue University☆25Updated 2 years ago
- A reading list of up-to-date papers on NLP for Social Good.☆303Updated last year
- A Python library for Secure and Explainable Machine Learning☆185Updated 2 months ago
- CodeGuard+: Constrained Decoding for Secure Code Generation☆13Updated last year
- An awesome list of papers on privacy attacks against machine learning☆620Updated last year
- SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models☆74Updated this week
- A vulnerability patch gathering tool☆43Updated 6 years ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- This repo collects the best papers from top 4 computer security conferences, including IEEE S&P, ACM CCS, USENIX Security, and NDSS.☆114Updated 4 months ago
- ☆19Updated 4 years ago
- Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.☆216Updated 2 years ago
- Privacy Testing for Deep Learning☆211Updated 2 years ago
- Statistics of acceptance rate for the top conferences: Oakland, CCS, USENIX Security, NDSS.☆172Updated 2 weeks ago
- White-box Fairness Testing through Adversarial Sampling☆13Updated 4 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆232Updated 2 months ago
- Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"☆29Updated 3 years ago
- ☆295Updated 3 weeks ago
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆24Updated 2 years ago