Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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211 results for Adversarial Robustness and Privacy

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- - Pu Zhao
  - Parikshit Ram
  - et al.
- 2022
- IJCAI 2022
CAT: Customized Adversarial Training for Improved Robustness
- - Minhao Cheng
  - Qi Lei
  - et al.
- 2022
- IJCAI 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
- - Spiros Baxevanakis
  - Giorgos Kordopatis-Zilos
  - et al.
- 2022
- MAD 2022
Real-World Adversarial Examples Via Makeup
- - Chang-Sheng Lin
  - Chia-Yi Hsu
  - et al.
- 2022
- ICASSP 2022
Secure Random Sampling in Differential Privacy
- - Naoise Holohan
  - Stefano Braghin
- 2021
- ESORICS 2021
Graph Adversarial Attack via Rewiring
- - Yao Ma
  - Suhang Wang
  - et al.
- 2021
- KDD 2021
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)
- - Pin-Yu Chen
  - Cho-Jui Hsieh
  - et al.
- 2021
- KDD 2021
Using deep packet inspection in CyberTraffic analysis
- - Luca Deri
  - Francesco Fusco
- 2021
- CSR 2021
Data-efficient framework for real-world multiple sound source 2D localization
- - Guillaume Le Moing
  - Phongtharin Vinayavekhin
  - et al.
- 2021
- ICASSP 2021
Non-singular adversarial robustness of neural networks
- - Yu-Lin Tsai
  - Chia-Yi Hsu
  - et al.
- 2021
- ICASSP 2021