Robust Text CAPTCHAs Using Adversarial Examples
- Rulin Shao
- Zhouxing Shi
- et al.
- 2022
- Big Data 2022
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The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning
- Orit Davidovich
- Gheorghe-Teodor Bercea
- et al.
- 2022
- KDD 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction
- Yong Xie
- Dakuo Wang
- et al.
- 2022
- NAACL 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design
- Jiao Sun
- Q. Vera Liao
- et al.
- 2022
- IUI 2022
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
- Pierre Dognin
- Inkit Padhi
- et al.
- 2021
- EMNLP 2021
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
- Siyue Wang
- Xiao Wang
- et al.
- 2021
- IJCAI 2021
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- Xiao Zang
- Yi Xie
- et al.
- 2021
- IJCAI 2021
Tabular Transformers for Modeling Multivariate Time Series
- Inkit Padhi
- Yair Schiff
- et al.
- 2021
- ICASSP 2021
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
- Umang Bhatt
- Javier Antorán
- et al.
- 2021
- AIES 2021
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
- Youssef Mroueh
- Truyen V. Nguyen
- 2021
- AISTATS 2021