7 citations · 11 across the 8 of their papers we have counts for
14 papers
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching
Ehsan Tavan, Ali Rahmati, Maryam Najafi +2
This paper presents a deep neural architecture, for Natural Language Sentence Matching (NLSM) by adding a deep recursive encoder to BERT so called BERT with Deep Recursive Encoder…
Adversarial training may be a double-edged sword
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Huaiyu Dai
Adversarial training has been shown as an effective approach to improve the robustness of image classifiers against white-box attacks. However, its effectiveness against black-box…
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming
Ali Rahmati, Seyyedali Hosseinalipour, Ismail Guvenc +2
Deployment of unmanned aerial vehicles (UAVs) is recently getting significant attention due to a variety of practical use cases, such as surveillance, data gathering, and commodity…
Energy-Aware Stochastic UAV-Assisted Surveillance
Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun +1
With the ease of deployment, capabilities of evading the jammers and obscuring their existence, unmanned aerial vehicles (UAVs) are one of the most suitable candidates to perform s…
GeoDA: a geometric framework for black-box adversarial attacks
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard +1
Adversarial examples are known as carefully perturbed images fooling image classifiers. We propose a geometric framework to generate adversarial examples in one of the most challen…
Optimal Jammer Placement in UAV-assisted Relay Networks
Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
We consider the relaying application of unmanned aerial vehicles (UAVs), in which UAVs are placed between two transceivers (TRs) to increase the throughput of the system. Instead o…