An Approach to Protect the Privacy of Cloud Data from Data Mining Based Attacks. - Himel Dev; Tanmoy Sen; Madhusudan Basak; Mohammed Eunus Ali (SC Companion, 2012)

AntiqueData: A Proxy to Maintain Computational Transparency in Cloud. - Himel Dev; Mohammed Eunus Ali; Tanmoy Sen; Madhusudan Basak (DASFAA Workshops, 2014)

A Real-Time Crowd-Powered Testbed for Content Assessment of Potential Social Media Posts. - Himel Dev; Mohammed Eunus Ali; Jalal Mahmud; Tanmoy Sen; Madhusudan Basak; Rajshakhar Paul (SocInfo, 2015)

Machine Learning based Timeliness-Guaranteed and Energy-Efficient Task Assignment in Edge Computing Systems. - Tanmoy Sen; Haiying Shen (ICFEC, 2019)

Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes. - Zhuozhao Li; Tanmoy Sen; Haiying Shen; Mooi Choo Chuah (ICPP, 2020)

An Advanced Black-Box Adversarial Attack for Deep Driving Maneuver Classification Models. - Ankur Sarker; Haiying Shen; Tanmoy Sen; Hua Uehara (MASS, 2020)

NoiseSenseDNN: Modeling DNN for Sensor Data to Mitigate the Effect of Noise in Edge Devices. - Tanmoy Sen; Haiying Shen; Matthew Normansell (MASS, 2020)

A Suspicion-Free Black-box Adversarial Attack for Deep Driving Maneuver Classification Models. - Ankur Sarker; Haiying Shen; Tanmoy Sen (ICDCS, 2021)

Context-aware Data Operation Strategies in Edge Systems for High Application Performance. - Tanmoy Sen; Haiying Shen (ICPP, 2021)

Efficient Black-Box Adversarial Attacks for Deep Driving Maneuver Classification Models. - Ankur Sarker; Haiying Shen; Tanmoy Sen; Quincy Mendelson (MASS, 2021)

A Resilient and Robust Edge-Cloud Network System Supporting CPS. - Tanmoy Sen; Haiying Shen; Walid Saad; Thinh T. Doan 001 (MASS, 2021)

A Context-aware Black-box Adversarial Attack for Deep Driving Maneuver Classification Models. - Ankur Sarker; Haiying Shen; Tanmoy Sen (SECON, 2021)

A Diverse Noise-Resilient DNN Ensemble Model on Edge Devices for Time-Series Data. - Sudipta Saha Shubha; Tanmoy Sen; Haiying Shen; Matthew Normansell (SECON, 2021)

AnyOpt: predicting and optimizing IP Anycast performance. - Xiao Zhang; Tanmoy Sen; Zheyuan Zhang; Tim April; Balakrishnan Chandrasekaran 002; David R. Choffnes; Bruce M. Maggs; Haiying Shen; Ramesh K. Sitaraman; Xiaowei Yang 001 (SIGCOMM, 2021)

Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning. - Tanmoy Sen; Haiying Shen (ICDCS, 2022)

Accelerating Adversarial Attack using Process-in-Memory Architecture. - Shiyi Liu; Sathwika Bavikadi; Tanmoy Sen; Haiying Shen; Purab Ranjan Sutradhar; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao; Brian L. Smith (MSN, 2022)

Query-Efficient and Imperceptible Attacks on Multivariate Time Series DNN Models. - Haiying Shen; Fan Yao; Tanmoy Sen; Gustavo Moreira; Ankur Sarker (IFIP Networking, 2022)

Distributed Training for Deep Learning Models On An Edge Computing Network Using ShieldedReinforcement Learning. - Tanmoy Sen; Haiying Shen (CoRR, 2022)

A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine. - John Shen; Siddharth Ghatti; Nate Ryan Levkov; Haiying Shen; Tanmoy Sen; Karen Rheuban; Kyle Enfield; Nikki Reyer Facteau; Gina Engel; Kim Dowdell (Frontiers Artif. Intell., 2022)

A Study on the Impact of Memory DoS Attacks on Cloud Applications and Exploring Real-Time Detection Schemes. - Zhuozhao Li; Tanmoy Sen; Haiying Shen; Mooi Choo Chuah (IEEE/ACM Trans. Netw., 2022)

A Data and Model Parallelism based Distributed Deep Learning System in a Network of Edge Devices. - Tanmoy Sen; Haiying Shen (ICCCN, 2023)

Adversarial Attack Detection for Deep Learning Driving Maneuver Classifiers in Connected Autonomous Vehicles. - Tanmoy Sen; Haiying Shen (ICCCN, 2024)

EcoServe: Maximizing Multi-Resource Utilization with SLO Guarantees in LLM Serving. - Haiying Shen; Tanmoy Sen (CoRR, 2024)

Flex: Fast, Accurate DNN Inference on Low-Cost Edges Using Heterogeneous Accelerator Execution. - Tanmoy Sen; Haiying Shen; Anand Padmanabha Iyer (EuroSys, 2025)

AccelGen: Heterogeneous SLO-Guaranteed High-Throughput LLM Inference Serving for Diverse Applications. - Haiying Shen; Tanmoy Sen (CoRR, 2025)

Mitigating KV Cache Competition to Enhance User Experience in LLM Inference. - Haiying Shen; Tanmoy Sen; Masahiro Tanaka (CoRR, 2025)