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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47 results for AI Testing

Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
- - Nishtha Madaan
  - Inkit Padhi
  - et al.
- 2021
- AAAI 2021
Why Don’t Prompt-Based Fairness Metrics Correlate?
- - Abdelrahman Zayed
  - Gonçalo Mordido
  - et al.
- 2024
- ACL 2024
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Risk Aware Benchmarking of Large Language Models
- - Apoorva Nitsure
  - Youssef Mroueh
  - et al.
- 2024
- ICML 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- - Yu-Lin Tsai
  - Chia-yi Hsu
  - et al.
- 2024
- ICLR 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- - Turgay Caglar
  - Sirine Belhaj
  - et al.
- 2024
- AAAI 2024
URET: Universal Robustness Evaluation Toolkit (for Evasion)
- - Kevin Eykholt
  - Taesung Lee
  - et al.
- 2023
- USENIX Security 2023
HBM3 Modules on Latest High Density Organic Laminate—Signal Integrity Design and Analysis with Interconnect Budget Results
- - Frank R. Libsch
  - Hiroyuki Mori
- 2023
- ECTC 2023
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- - Dennis Wei
  - Rahul Nair
  - et al.
- 2022
- NeurIPS 2022
Deep Learning based Vulnerability Detection: Are We There Yet?
- - Saikat Chakraborty
  - Rahul Krishna
  - et al.
- 2022
- ICSE 2022
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs
- - Jialun Cao
  - Meiziniu Li
  - et al.
- 2022
- ICSE 2022