Farooq Ahmad Wani

According to our database, Farooq Ahmad Wani authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Same Answer, Different Representations: Hidden instability in VLMs.

Farooq Ahmad Wani, Alessandro Suglia, Rohit Saxena, Aryo Pradipta Gema, Wai-Chung Kwan, Fazl Barez, Maria Sofia Bucarelli, Fabrizio Silvestri, Pasquale Minervini

CoRR, February, 2026

2025

PISA: Prioritized Invariant Subgraph Aggregation.

Ali Ghasemi, Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri

CoRR, November, 2025

Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic.

Mostafa Mozafari, Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri

CoRR, November, 2025

HCN-TA: Hierarchical Capsule Network with Temporal Attention for a Generalizable Approach to Audio Deepfake Detection.

Taiba Majid Wani, Madleen Uecker, Farooq Ahmad Wani, Irene Amerini

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

IJCNN 2025 Competition: Learning with Noisy Graph Labels.

Farooq Ahmad Wani, Maria Sofia Bucarelli, Giulia Di Teodoro, Andrea Giuseppe Di Francesco

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Navigating the Soundscape of Deception: A Comprehensive Survey on Audio Deepfake Generation, Detection, and Future Horizons.

Taiba Majid Wani, Syed Asif Ahmad Qadri, Farooq Ahmad Wani, Irene Amerini

Found. Trends Priv. Secur., 2024

Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks.

Farooq Ahmad Wani, Maria Sofia Bucarelli, Andrea Giuseppe Di Francesco, Oleksandr Pryymak, Fabrizio Silvestri

CoRR, 2024

Learning with Noisy Labels through Learnable Weighting and Centroid Similarity.

Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Combining Distance to Class Centroids and Outlier Discounting for Improved Learning with Noisy Labels.

Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri

CoRR, 2023