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)

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)

Degree-based Feature Is All You Need: Science4Cast Report. - Milad Aghajohari; Mohammad Sadegh Akhondzadeh; Saleh Ashkboos; Kamran Chitsaz (IEEE BigData, 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 (WebSci, 2021)

Probing Graph Representations. - Mohammad Sadegh Akhondzadeh; Vijay Lingam; Aleksandar Bojchevski (AISTATS, 2023)

Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. - Vijay Lingam; Mohammad Sadegh Akhondzadeh; Aleksandar Bojchevski (ICLR, 2024)

Robust Yet Efficient Conformal Prediction Sets. - Soroush H. Zargarbashi; Mohammad Sadegh Akhondzadeh; Aleksandar Bojchevski (ICML, 2024)

KurTail : Kurtosis-based LLM Quantization. - Mohammad Sadegh Akhondzadeh; Aleksandar Bojchevski; Evangelos Eleftheriou; Martino Dazzi (CoRR, 2025)

One Sample is Enough to Make Conformal Prediction Robust. - Soroush H. Zargarbashi; Mohammad Sadegh Akhondzadeh; Aleksandar Bojchevski (CoRR, 2025)

EvA: Evolutionary Attacks on Graphs. - Mohammad Sadegh Akhondzadeh; Soroush H. Zargarbashi; Jimin Cao; Aleksandar Bojchevski (CoRR, 2025)