output
20032025
most citedNatural Language Processing (almost) from Scratch

5.2k citations

Showing 2020 · cs.CRShow all

8 papers · 2 filters

cs.CR2020★ 5 cited

Explainability Matters: Backdoor Attacks on Medical Imaging

Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar +2

Deep neural networks have been shown to be vulnerable to backdoor attacks, which could be easily introduced to the training set prior to model training. Recent work has focused on…

cs.CR2020★ 2 cited

MAD-VAE: Manifold Awareness Defense Variational Autoencoder

Frederick Morlock, Dingsu Wang

Although deep generative models such as Defense-GAN and Defense-VAE have made significant progress in terms of adversarial defenses of image classification neural networks, several…

cs.CR2020★ 25 cited

Privacy-Preserving Dynamic Personalized Pricing with Demand Learning

Xi Chen, David Simchi-Levi, Yining Wang

The prevalence of e-commerce has made detailed customers' personal information readily accessible to retailers, and this information has been widely used in pricing decisions. When…

cs.CR2020★ 16 cited

The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums

Emily Tseng, Rosanna Bellini, Nora McDonald +5

Abusers increasingly use spyware apps, account compromise, and social engineering to surveil their intimate partners, causing substantial harms that can culminate in violence. This…

cs.CR2020

Stabilizing Congestion in Decentralized Record-Keepers

Assimakis Kattis, Fabian Trottner

We argue that recent developments in proof-of-work consensus mechanisms can be used in accordance with advancements in formal verification techniques to build a distributed payment…

cs.CR2020★ 35 cited

Security of Cloud FPGAs: A Survey

Chenglu Jin, Vasudev Gohil, Ramesh Karri +1

Integrating Field Programmable Gate Arrays (FPGAs) with cloud computing instances is a rapidly emerging trend on commercial cloud computing platforms such as Amazon Web Services (A…

cs.CR2020★ 6 cited

Differentially Private Collaborative Intrusion Detection Systems For VANETs

Tao Zhang, Quanyan Zhu

Vehicular ad hoc network (VANET) is an enabling technology in modern transportation systems for providing safety and valuable information, and yet vulnerable to a number of attacks…

cs.CR2020★ 4 cited

Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM

Rui Zhang, Quanyan Zhu

Distributed machine learning algorithms play a significant role in processing massive data sets over large networks. However, the increasing reliance on machine learning on informa…