Publications

65 results for AI Testing

Risk Aware Benchmarking of Large Language Models
- - Apoorva Nitsure
  - Youssef Mroueh
  - et al.
- 2024
- ICML 2024
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- - Tomas Bueno Momcilovic
  - Beat Buesser
  - et al.
- 2024
- xAI 2024
Exploring Vulnerabilities in LLMs: A Red Teaming Approach to Evaluate Social Bias
- - Yuya Jeremy Ong
  - Jay Pankaj Gala
  - et al.
- 2024
- IEEE CISOSE 2024
Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)
- - Leshem Choshen
  - Ariel Gera
  - et al.
- 2024
- LREC-COLING 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
Human Evaluation of the Usefulness of Fine-Tuned English Translators for the Guarani Mbya and Nheengatu Indigenous Languages
- - Claudio Santos Pinhanez
  - Paulo Rodrigo Cavalin
  - et al.
- 2024
- PROPOR 2024
Workshop version: How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
- - David Mayo
  - Jesse Cummings
  - et al.
- 2023
- NeurIPS 2023
Unveiling Safety Vulnerabilities of Large Language Models
- - George Kour
  - Marcel Zalmanovici
  - et al.
- 2023
- EMNLP 2023
URET: Universal Robustness Evaluation Toolkit (for Evasion)
- - Kevin Eykholt
  - Taesung Lee
  - et al.
- 2023
- USENIX Security 2023