Mohammad Sadegh Akhondzadeh

According to our database, Mohammad Sadegh Akhondzadeh authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Test-Time Training Undermines Safety Guardrails.

Simone Antonelli, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski

CoRR, May, 2026

2025

EvA: Evolutionary Attacks on Graphs.

Mohammad Sadegh Akhondzadeh, Soroush H. Zargarbashi, Jimin Cao, Aleksandar Bojchevski

CoRR, July, 2025

One Sample is Enough to Make Conformal Prediction Robust.

Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski

CoRR, June, 2025

KurTail : Kurtosis-based LLM Quantization.

Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Robust Yet Efficient Conformal Prediction Sets.

Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Label Poisoning for GNNs: Pitfalls and Attacks.

Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Probing Graph Representations.

Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph.

Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kavé Salamatian, Masoud Nejad Sattary

Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

Degree-based Feature Is All You Need: Science4Cast Report.

Milad Aghajohari, Mohammad Sadegh Akhondzadeh, Saleh Ashkboos, Kamran Chitsaz

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Evaluating Sparse Interpretable Word Embeddings for Biomedical Domain.

Mohammad Amin Samadi, Mohammad Sadegh Akhondzadeh, Sayed Jalal Zahabi, Mohammad Hossein Manshaei, Zeinab Maleki, Payman Adibi

CoRR, 2020

On Detecting Hidden Third-Party Web Trackers with a Wide Dependency Chain Graph: A Representation Learning Approach.

Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kavé Salamatian, Masoud Nejad Sattary

CoRR, 2020