Heavy Sets with Applications to Interpretable Machine Learning Diagnostics
- Dmitry Malioutov
- Sanjeeb Dash
- et al.
- 2023
- AISTATS 2023
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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673 results for Trustworthy AI
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming
- Huzaifa Arif
- Alex Gittens
- et al.
- 2023
- IEEE SaTML 2023
Treatment Learning Causal Transformer for Noisy Image Classification
- Chao-Han Huck Yang
- Danny I-Te Hung
- et al.
- 2023
- WACV 2023
Robust Text CAPTCHAs Using Adversarial Examples
- Rulin Shao
- Zhouxing Shi
- et al.
- 2022
- Big Data 2022
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