733 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Cornell UniversityUS156 papers
- Jacobs InstituteUS11 papers
- Carnegie Mellon UniversityUS9 papers
- Google (United States)US9 papers
- Massachusetts Institute of TechnologyUS8 papers
- Stanford UniversityUS8 papers
- University of California San DiegoUS6 papers
- University of Maryland, College ParkUS6 papers
- University of WashingtonUS6 papers
- University of California, BerkeleyUS5 papers
- University of PennsylvaniaUS5 papers
- Weill Cornell MedicineUS5 papers
10 papers · 1 filter
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures
Eugene Bagdasaryan, Vitaly Shmatikov
We investigate a new threat to neural sequence-to-sequence (seq2seq) models: training-time attacks that cause models to "spin" their outputs so as to support an adversary-chosen se…
Differentially Private -means Clustering Applied to Meter Data Analysis and Synthesis
Nikhil Ravi, Anna Scaglione, Sachin Kadam +5
The proliferation of smart meters has resulted in a large amount of data being generated. It is increasingly apparent that methods are required for allowing a variety of stakeholde…
Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets
Sachin Kadam, Anna Scaglione, Nikhil Ravi +3
The Differential Privacy (DP) literature often centers on meeting privacy constraints by introducing noise to the query, typically using a pre-specified parametric distribution mod…
Computer Vision and Conflicting Values: Describing People with Automated Alt Text
Margot Hanley, Solon Barocas, Karen Levy +2
Scholars have recently drawn attention to a range of controversial issues posed by the use of computer vision for automatically generating descriptions of people in images. Despite…
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
The convolution operation is a central building block of neural network architectures widely used in computer vision. The size of the convolution kernels determines both the expres…
Self-Diffusion Scalings in Dense Granular Flows
Riccardo Artoni, Michele Larcher, James Jenkins +1
We report on measurements of self-diffusion coefficients in discrete numerical simulations of steady, homogeneous, collisional shearing flows of nearly identical, frictional, inela…
Learning Multimodal Affinities for Textual Editing in Images
Or Perel, Oron Anschel, Omri Ben-Eliezer +2
Nowadays, as cameras are rapidly adopted in our daily routine, images of documents are becoming both abundant and prevalent. Unlike natural images that capture physical objects, do…
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding, Nan Xue, Gui-Song Xia +8
In the past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale and orientation of obj…
VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter
Anton Abilov, Yiqing Hua, Hana Matatov +2
The wide spread of unfounded election fraud claims surrounding the U.S. 2020 election had resulted in undermining of trust in the election, culminating in violence inside the U.S.…
Fairness over time in dynamic resource allocation with an application in Healthcare
Andrea Lodi, Philippe Olivier, Gilles Pesant +1
Decision making problems are typically concerned with maximizing efficiency. In contrast, we address problems where there are multiple stakeholders and a centralized decision maker…