nuaa-nlp / TrustworthyAIPapers
List of Papers on Attack and Defense (AD) in AI Models
☆26Updated 3 years ago
Alternatives and similar repositories for TrustworthyAIPapers
Users that are interested in TrustworthyAIPapers are comparing it to the libraries listed below
Sorting:
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 3 years ago
- MATCH-TUNING☆15Updated 2 years ago
- Zero-shot Learning by Generating Task-specific Adapters☆14Updated 4 years ago
- [ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Y…☆85Updated last year
- [EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Q…☆26Updated 3 years ago
- [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"☆35Updated 2 years ago
- [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…☆21Updated last year
- code for the ICLR'22 paper: On Robust Prefix-Tuning for Text Classification☆27Updated 3 years ago
- Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency☆69Updated 2 years ago
- Natural Universal Trigger Search (NUTS)☆21Updated 4 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 11 months ago
- ☆56Updated 2 years ago
- Code for CascadeBERT, Findings of EMNLP 2021☆12Updated 3 years ago
- ☆25Updated 3 years ago
- ☆18Updated 2 years ago
- CLUENER2020 Chinese NER task☆11Updated 3 years ago
- ☆26Updated 4 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated last year
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- ☆85Updated 2 years ago
- EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation☆41Updated 2 years ago
- Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021☆43Updated 3 years ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆17Updated 4 years ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- The source code of our ACL paper "A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance an…☆14Updated 2 years ago
- ☆20Updated 3 years ago
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- ☆61Updated 2 years ago