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05/31/2023
Red Teaming Language Model Detectors with Language Models
The prevalence and high capacity of large language models (LLMs) present...
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02/02/2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
“Effective robustness” measures the extra out-of-distribution (OOD) robu...
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10/13/2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
Lipschitz constants are connected to many properties of neural networks,...
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03/16/2022
On the Convergence of Certified Robust Training with Interval Bound Propagation
Interval Bound Propagation (IBP) is so far the base of state-of-the-art ...
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04/18/2021
On the Faithfulness Measurements for Model Interpretations
Recent years have witnessed the emergence of a variety of post-hoc inter...
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03/31/2021
Fast Certified Robust Training via Better Initialization and Shorter Warmup
Recently, bound propagation based certified adversarial defense have bee...
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03/29/2021
On the Adversarial Robustness of Visual Transformers
Following the success in advancing natural language processing and under...
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01/07/2021
Robust Text CAPTCHAs Using Adversarial Examples
CAPTCHA (Completely Automated Public Truing test to tell Computers and H...
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06/09/2020
Knowledge-Aided Open-Domain Question Answering
Open-domain question answering (QA) aims to find the answer to a questio...
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02/28/2020
Automatic Perturbation Analysis on General Computational Graphs
Linear relaxation based perturbation analysis for neural networks, which...
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02/16/2020
Robustness Verification for Transformers
Robustness verification that aims to formally certify the prediction beh...
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09/05/2019
Adversarial Examples with Difficult Common Words for Paraphrase Identification
Despite the success of deep models for paraphrase identification on benc...
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12/01/2018
