AUTOLYCUS: Exploiting Explainable Artificial Intelligence (XAI) for Model Extraction Attacks against Interpretable Models
- Abdullah Caglar Oksuz
- Anisa Halimi
- et al.
- 2024
- PETS 2024
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758 results for Trustworthy AI
Exploring Vulnerabilities in LLMs: A Red Teaming Approach to Evaluate Social Bias
- Yuya Jeremy Ong
- Jay Pankaj Gala
- et al.
- 2024
- IEEE CISOSE 2024
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- Natalia Martinez Gil
- Dhaval Patel
- et al.
- 2024
- UAI 2024
Quantifying Representation Reliability in Self-Supervised Learning Models
- Young Jin Park
- Hao Wang
- et al.
- 2024
- UAI 2024
Privacy-Preserving Verification of Preprocessing in Machine Learning Models
- Wenbiao Li
- Anisa Halimi
- et al.
- 2024
- PETS 2024
Effective In-Silico Gene Perturbation by Machine Learning Model Interpretation for Immunotherapies
- Tanwi Biswas
- Akira Koseki
- et al.
- 2024
- ISMB 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- ISMB 2024
AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- Raúl Fernández Díaz
- Rodrigo Cossio-pérez
- et al.
- 2024
- ISMB 2024
Geospatial Sampling by Maximizing Information Entropy
- 2024
- IGARSS 2024
Transformer Models with Explainability for IT Telemetry and Business Events
- Shiau Hong Lim
- Laura Wynter
- 2024
- SSE 2024