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03/27/2022
Rebuild and Ensemble: Exploring Defense Against Text Adversaries
Adversarial attacks can mislead strong neural models; as such, in NLP ta...
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08/31/2021
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Pre-Trained Models have been widely applied and recently proved vulnerab...
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08/29/2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Recent studies have shown that deep neural networks are vulnerable to in...
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05/08/2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
Recently, few certified defense methods have been developed to provably ...
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03/22/2021
SparseGAN: Sparse Generative Adversarial Network for Text Generation
It is still a challenging task to learn a neural text generation model u...
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04/15/2020
