AI-secure / SemAttackLinks
[NAACL 2022] "SemAttack: Natural Textual Attacks via Different Semantic Spaces" by Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
☆21Updated 3 years ago
Alternatives and similar repositories for SemAttack
Users that are interested in SemAttack are comparing it to the libraries listed below
Sorting:
- Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks☆24Updated 4 years ago
- ☆25Updated 4 years ago
- Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency☆71Updated 2 years ago
- ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble☆18Updated 2 years ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆30Updated 3 years ago
- codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"☆31Updated last year
- Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021☆43Updated 4 years ago
- Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples☆36Updated 6 years ago
- Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT☆199Updated 4 years ago
- Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"☆107Updated 2 years ago
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…☆41Updated 4 years ago
- Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)☆24Updated 3 years ago
- Natural Universal Trigger Search (NUTS)☆21Updated 4 years ago
- A Query Efficient Natural Language Attack in a Black Box Setting☆16Updated 3 years ago
- ☆14Updated last year
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"☆43Updated 2 years ago
- Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)☆24Updated 3 years ago
- For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]☆16Updated 10 months ago
- ☆24Updated 4 years ago
- ☆57Updated last year
- Natural Language Attacks in a Hard Label Black Box Setting.☆47Updated 4 years ago
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆39Updated last year
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆142Updated 3 years ago
- [EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Q…☆26Updated 3 years ago
- ☆19Updated 3 years ago
- ☆18Updated 4 years ago
- [EMNLP 2022] Distillation-Resistant Watermarking (DRW) for Model Protection in NLP☆13Updated last year
- Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"☆87Updated 4 years ago