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

An ADMM-based universal framework for adversarial attacks on deep neural networks
- - Pu Zhao
  - Yanzhi Wang
  - et al.
- 2018
- MM 2018
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning
- - Richard Tomsett
  - Amy Widdicombe
  - et al.
- 2018
- FUSION 2018
On the Limitation of MagNet Defense Against L₁-Based Adversarial Examples
- - Pei Hsuan Lu
  - Pin-Yu Chen
  - et al.
- 2018
- DSN-W 2018
Weakly supervised audio source separation via spectrum energy preserved Wasserstein learning
- - Ning Zhang
  - Junchi Yan
  - et al.
- 2018
- IJCAI 2018
SYNERGY: Rethinking Secure-Memory Design for Error-Correcting Memories
- - Gururaj Saileshwar
  - Prashant J. Nair
  - et al.
- 2018
- HPCA 2018
Efficient defenses against adversarial atacks
- - Valentina Zantedeschi
  - Maria-Irina Nicolae
  - et al.
- 2017
- AISec 2017
Privacy preserving explanations for hierarchical time series forecasts
- - Surya Shravan Kumar Sajja
  - Sumanta Mukherjee
  - et al.
- 2021
- INFORMS 2021
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks
- - Giandomenico Cornacchia
  - Kieran Fraser
  - et al.
- 2024
- AIES 2024
TRAD: Task-agnostic Representation of the Activation Space in Deep Neural Networks
- - Tanya Leah Akumu
  - Celia Cintas
  - et al.
- 2023
- IJCAI 2023
Applying Artificial Intelligence Privacy Technology in the Healthcare Domain
- - Abigail Goldsteen
  - Ariel Farkash
  - et al.
- 2022
- MIE 2022