Fatemeh Sheikholeslami

36 papers A* 2A 1Misc 6Journal 18Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs. EMNLP (Industry Track) Soham Satyadharma, Fatemeh Sheikholeslami, Swati Kaul, Aziz Umit Batur, Suleiman Ali Khan
2025	J	`jnl`	Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs. CoRR Soham Satyadharma, Fatemeh Sheikholeslami, Swati Kaul, Aziz Umit Batur, Suleiman Ali Khan
2025	—	`conf`	Language-Guided Adaptive Vision Token Pruning for Efficient Multimodal Large Language Models. PAKDD (5) Omer Faruk Deniz, Tarik Arici, Fatemeh Sheikholeslami, Burak Gozluklu, Ameni Trabelsi, Suleiman Ali Khan, Yapeng Tian, Latifur Khan
2023	J	`jnl`	Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems. CoRR Ting-Wei Wu, Fatemeh Sheikholeslami, Mohammad Kachuee, Jaeyoung Do, Sungjin Lee
2023	J	`jnl`	Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter
2023	A	`conf`	Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. AISTATS Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter
2023	—	`conf`	Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. ACL (industry) Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do
2023	J	`jnl`	Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. CoRR Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do
2022	J	`jnl`	Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. CoRR Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter
2021	A*	`conf`	Provably robust classification of adversarial examples with detection. ICLR Fatemeh Sheikholeslami, Ali Lotfi, J. Zico Kolter
2021	J	`jnl`	You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. CoRR Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter
2020	Misc	`conf`	Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. ITA Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
2020	J	`jnl`	Reinforcement Learning for Caching with Space-Time Popularity Dynamics. CoRR Alireza Sadeghi, Georgios B. Giannakis, Gang Wang, Fatemeh Sheikholeslami
2019	Misc	`conf`	Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks. ICASSP Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
2019	J	`jnl`	Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. CoRR Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
2019	J	`jnl`	Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing. IEEE J. Sel. Areas Commun. Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis
2019	—	`conf`	Structured Egonet Tensors for Robust Node Embedding. CAMSAP Fatemeh Sheikholeslami, Georgios B. Giannakis
2018	J	`jnl`	Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition. IEEE Trans. Signal Process. Fatemeh Sheikholeslami, Georgios B. Giannakis
2018	J	`jnl`	Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget. IEEE Trans. Signal Process. Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2018	—	`conf`	Optimal Dynamic Proactive Caching Via Reinforcement Learning. SPAWC Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis
2018	J	`jnl`	Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities. IEEE J. Sel. Top. Signal Process. Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis
2018	Misc	`conf`	Reinforcement Learning for 5G Caching with Dynamic Cost. ICASSP Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marqués, Georgios B. Giannakis
2018	J	`jnl`	Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing. CoRR Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis
2017	J	`jnl`	Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition. CoRR Fatemeh Sheikholeslami, Georgios B. Giannakis
2017	—	`conf`	Memory efficient low-rank non-linear subspace tracking. CAMSAP Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2017	J	`jnl`	Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-time Popularities. CoRR Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis
2017	A*	`conf`	Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer Approach. ICDM Fatemeh Sheikholeslami, Georgios B. Giannakis
2017	—	`conf`	Scalable kernel-based learning via low-rank approximation of lifted data. Allerton Fatemeh Sheikholeslami, Georgios B. Giannakis
2017	Misc	`conf`	Soft unveiling of communities via egonet tensors. ACSSC Fatemeh Sheikholeslami, Georgios B. Giannakis
2016	—	`conf`	Egonet tensor decomposition for community identification. GlobalSIP Fatemeh Sheikholeslami, Brian Baingana, Georgios B. Giannakis, Nikolas D. Sidiropoulos
2016	J	`jnl`	Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking. CoRR Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2015	—	`conf`	Kernel-based low-rank feature extraction on a budget for big data streams. GlobalSIP Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2015	Misc	`conf`	Online subspace learning and nonlinear classification of Big Data with misses. CISS Fatemeh Sheikholeslami, Georgios B. Giannakis
2015	J	`jnl`	Optimal Probabilistic Initial and Target Channel Selection for Spectrum Handoff in Cognitive Radio Networks. IEEE Trans. Wirel. Commun. Fatemeh Sheikholeslami, Masoumeh Nasiri-Kenari, Farid Ashtiani
2014	Misc	`conf`	Classification of streaming big data with misses. ACSSC Fatemeh Sheikholeslami, Morteza Mardani, Georgios B. Giannakis
2013	J	`jnl`	Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks. IEEE Trans. Wirel. Commun. Hossein Shokri Ghadikolaei, Fatemeh Sheikholeslami, Masoumeh Nasiri-Kenari

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.