Feature Selection in Learning Using Privileged Information. - Rauf Izmailov; Blerta Lindqvist; Peter Lin (ICDM Workshops, 2017)

Computational Neuromodulation: Future Challenges for Deep Brain Stimulation [Life Sciences]. - Konstantinos P. Michmizos 001; Blerta Lindqvist; Stephen Wong; Eric L. Hargreaves; Konstantinos Psychas; Georgios D. Mitsis; Shabbar F. Danish; Konstantina S. Nikita (IEEE Signal Process. Mag., 2017)

AutoGAN: Robust Classifier Against Adversarial Attacks. - Blerta Lindqvist; Shridatt Sugrim; Rauf Izmailov (CoRR, 2018)

Minimax Defense against Gradient-based Adversarial Attacks. - Blerta Lindqvist; Rauf Izmailov (CoRR, 2020)

Tricking Adversarial Attacks To Fail. - Blerta Lindqvist (CoRR, 2020)

Target Training Does Adversarial Training Without Adversarial Samples. - Blerta Lindqvist (CoRR, 2021)

Delving into the pixels of adversarial samples. - Blerta Lindqvist (CoRR, 2021)

A Novel Method for Function Smoothness in Neural Networks. - Blerta Lindqvist (IEEE Access, 2022)

Symmetry Subgroup Defense Against Adversarial Attacks. - Blerta Lindqvist (CoRR, 2022)

Symmetry Defense Against CNN Adversarial Perturbation Attacks. - Blerta Lindqvist (ISC, 2023)

Symmetry Defense Against XGBoost Adversarial Perturbation Attacks. - Blerta Lindqvist (CoRR, 2023)

A systematic review of artificial intelligence impact assessments. - Bernd Carsten Stahl; Josephina Antoniou; Nitika Bhalla; Laurence D. Brooks; Philip Jansen; Blerta Lindqvist; Alexey Kirichenko; Samuel Marchal; Rowena Rodrigues; Nicole Santiago; Zuzanna Warso; David Wright 003 (Artif. Intell. Rev., 2023)

On the Adversarial Robustness of Decision Trees and a Symmetry Defense. - Blerta Lindqvist (IEEE Access, 2025)