TRAD: Task-agnostic Representation of the Activation Space in Deep Neural Networks
- 2023
- IJCAI 2023
Publications
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212 results for Adversarial Robustness and Privacy
Applying Artificial Intelligence Privacy Technology in the Healthcare Domain
- Abigail Goldsteen
- Ariel Farkash
- et al.
- 2022
- MIE 2022
CARBEN: Composite Adversarial Robustness Benchmark
- Lei Hsiung
- Yun-Yun Tsai
- et al.
- 2022
- IJCAI 2022
Anonymizing Machine Learning Models
- Abigail Goldsteen
- Micha Moffie
- et al.
- 2021
- ESORICS 2021
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design
- Mayoore S. Jaiswal
- Bumsoo Kang
- et al.
- 2020
- MLSys 2020
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
- Victor Akinwande
- Celia Cintas
- et al.
- 2020
- KDD 2020
3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
- Jiabao Ji
- Bairu Hou
- et al.
- 2024
- NAACL 2024
Besting the Black-Box: Barrier Zones for Adversarial Example Defense
- Kaleel Mahmood
- Phuong Ha Nguyen
- et al.
- 2021
- IEEE Access
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process
- Shuai Xiao
- Junchi Yan
- et al.
- 2018
- IEEE Access