140 citations · 148 across the 9 of their papers we have counts for
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cs.LG2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions
Darshan Thaker, Paris Giampouras, René Vidal
An important aspect of developing reliable deep learning systems is devising strategies that make these systems robust to adversarial attacks. There is a long line of work that foc…
cs.LG2022
Reverse Engineering attacks: A block-sparse optimization approach with recovery guarantees
Darshan Thaker, Paris Giampouras, René Vidal
Deep neural network-based classifiers have been shown to be vulnerable to imperceptible perturbations to their input, such as -bounded norm adversarial attacks. This has mo…
cs.LG2019★ 140 cited
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma, Suwen Ge, Danyang He +2
In this work, we introduce Graph Pointer Networks (GPNs) trained using reinforcement learning (RL) for tackling the traveling salesman problem (TSP). GPNs build upon Pointer Networ…