Search Results for author:
Found 8 papers, 2 papers with code
RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimation
We introduce a new gradient-based loss function that computes the magnitude and direction of change in received signal strength (RSS) values from a point within the environment.
Game of GANs: Game-Theoretical Models for Generative Adversarial Networks
This paper reviews the literature on the game theoretic aspects of GANs and addresses how game theory models can address specific challenges of generative model and improve the GAN's performance.
Efficient UAV Trajectory-Planning using Economic Reinforcement Learning
The uniqueness of UAVs in systems creates a novel set of trajectory or path planning and coordination problems.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
Modeling the Hallucinating Brain: A Generative Adversarial Framework
This paper looks into the modeling of hallucination in the human's brain.
Evaluating Sparse Interpretable Word Embeddings for Biomedical Domain
Qualitative and quantitative measurements and metrics for interpretability of word vector representations are provided.
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph
In this work, we seek to simplify the update of these filter lists by combining different websites through a large-scale graph connecting all resource requests made over a large set of sites.
On the Feasibility of Sybil Attacks in Shard-Based Permissionless Blockchains
To overcome this, committee-based approaches (e. g., Elastico) that partition the outstanding transaction set into shards and (randomly) select multiple committees to process these transactions in parallel have been proposed and have become very popular.
Cryptography and Security
A Game-Theoretic Analysis of Shard-Based Permissionless Blockchains
However, one significant research gap is a lack of understanding of the strategic behavior of rational processors within committees in such shard-based consensus protocols.
Computer Science and Game Theory
