Dangsan: Scalable use-after-free detection E Van Der Kouwe, V Nigade, C Giuffrida ACM EuroSys, 2017 | 118 | 2017 |
Clownfish: Edge and cloud symbiosis for video stream analytics V Nigade, L Wang, H Bal IEEE/ACM Symposium on Edge Computing (SEC), 2020 | 24 | 2020 |
Distributed replication in cluster environments V Nigade, M Soundalgekar US Patent 9,600,553, 2017 | 19 | 2017 |
Neural representation of motor output, context and behavioral adaptation in rat medial prefrontal cortex during learned behavior R De Haan, J Lim, SA Van der Burg, AW Pieneman, V Nigade, ... Frontiers in Neural Circuits, 2018 | 14 | 2018 |
Better Never Than Late: Timely edge video analytics over the air V Nigade, R Winder, H Bal, L Wang ACM AIChallengeIoT@SenSys, 2021 | 7 | 2021 |
Jellyfish: Timely Inference Serving for Dynamic Edge Networks V Nigade, P Bauszat, H Bal, L Wang IEEE Real-Time Systems Symposium (RTSS) - Outstanding Paper Award, 2022 | 5 | 2022 |
Live video analytics as a service GH Apostolo, P Bauszat, V Nigade, HE Bal, L Wang ACM EuroMLSys@EuroSys, 2022 | 3 | 2022 |
Distributed DNN serving in the network data plane K Razavi, G Karlos, V Nigade, M Mühlhäuser, L Wang European P4 Workshop (EuroP4), 2022 | 2 | 2022 |
Latency-Critical Inference Serving for Deep Learning VV Nigade | | 2023 |
Efficiently Detecting Use-after-Free Exploits in Multi-Threaded Applications V Nigade MSc Thesis, Vrije Universiteit Amsterdam, 2016 | | 2016 |