Alternatives and similar repositories for CARA_EMNLP2020

Users that are interested in CARA_EMNLP2020 are comparing it to the libraries listed below

• lancopku / RAP
  Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)
  ☆24Updated 3 years ago
• shizhouxing / Robustness-Verification-for-Transformers
  [ICLR 2020] Code for paper "Robustness Verification for Transformers"
  ☆27Updated 9 months ago
• thunlp / NeuBA
  ☆25Updated 4 years ago
• IBM / model-sanitization
  Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…
  ☆27Updated 5 years ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆30Updated 3 years ago
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆142Updated 3 years ago
• machanic / MetaAdvDet
  The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"
  ☆11Updated 4 years ago
• JHL-HUST / FGPM
  Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks
  ☆24Updated 4 years ago
• lancopku / SOS
  Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)
  ☆24Updated 3 years ago
• lancopku / Embedding-Poisoning
  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
• Sanghyun-Hong / Gradient-Shaping
  [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
  ☆10Updated 5 years ago
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago
• XuandongZhao / DRW
  [EMNLP 2022] Distillation-Resistant Watermarking (DRW) for Model Protection in NLP
  ☆13Updated 2 years ago
• P2333 / SCORE
  A Self-Consistent Robust Error (ICML 2022)
  ☆68Updated 2 years ago
• BrachioLab / adversarial_prompting
  ☆53Updated 2 years ago
• csong27 / collision-bert
  ☆25Updated 4 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆19Updated 2 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• guanghelee / neurips19-certificates-of-robustness
  "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …
  ☆17Updated 5 years ago
• enyac-group / Renofeation
  ☆19Updated 4 years ago
• ebagdasa / propaganda_as_a_service
  Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"
  ☆22Updated 3 years ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• AI-secure / InfoBERT
  [ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Y…
  ☆85Updated last year
• hammlab / PoisoningCertifiedDefenses
  How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)
  ☆13Updated 4 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• AI-secure / SemAttack
  [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
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆56Updated last year
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆53Updated 4 years ago
• BorealisAI / mma_training
  Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
  ☆34Updated 5 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago