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Found 5 papers, 3 papers with code
Reversible Jump Attack to Textual Classifiers with Modification Reduction
Recent studies on adversarial examples expose vulnerabilities of natural language processing (NLP) models.
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
At the intersection of CV and NLP is the problem of image captioning, where the related models' robustness against adversarial attacks has not been well studied.
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
In response, this study proposes a new method called the Fraud's Bargain Attack (FBA), which uses a randomization mechanism to expand the search space and produce high-quality adversarial examples with a higher probability of success.
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
The experimental results show that the proposed estimator helps save 23. 3% of computational cost measured in floating-point operations for the code completion systems, and 80. 2% of rejected prompts lead to unhelpful completion
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
Github Copilot, trained on billions of lines of public code, has recently become the buzzword in the computer science research and practice community.
