CARBEN: Composite Adversarial Robustness Benchmark
- Lei Hsiung
- Yun-Yun Tsai
- et al.
- 2022
- IJCAI 2022
Demo paper
Publications
228 results for Adversarial Robustness and Privacy
New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2022
- ICML 2022
WorkshopA Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction
- Yong Xie
- Dakuo Wang
- et al.
- 2022
- NAACL 2022
Conference paperTraining a Resilient Q-network against Observational Interference
- Chao-Han Huck Yang
- I. Te Danny Hung
- et al.
- 2022
- AAAI 2022
Conference paperThe MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
- Spiros Baxevanakis
- Giorgos Kordopatis-Zilos
- et al.
- 2022
- MAD 2022
Conference paperApplying Artificial Intelligence Privacy Technology in the Healthcare Domain
- Abigail Goldsteen
- Ariel Farkash
- et al.
- 2022
- MIE 2022
PosterReal-World Adversarial Examples Via Makeup
- Chang-Sheng Lin
- Chia-Yi Hsu
- et al.
- 2022
- ICASSP 2022
Conference paperAres: A System-Oriented Wargame Framework for Adversarial ML
- Farhan Ahmed
- Pratik Vaishnavi
- et al.
- 2022
- S&P 2022
Workshop paperMalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection
- Xiang Ling
- Lingfei Wu
- et al.
- 2022
- INFOCOM 2022
Conference paperEvaluating the Adversarial Robustness for Fourier Neural Operators
- Abolaji Adesoji
- Pin-Yu Chen
- 2022
- ICLR 2022
Workshop paper