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03/12/2023
Perceptual Pat: A Virtual Human System for Iterative Visualization Design
Designing a visualization is often a process of iterative refinement whe...
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12/28/2022
Publishing Efficient On-device Models Increases Adversarial Vulnerability
Recent increases in the computational demands of deep neural networks (D...
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11/22/2022
Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Forecasting future outcomes from recent time series data is not easy, es...
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10/10/2022
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting
Continuous-time dynamics models, such as neural ordinary differential eq...
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07/13/2022
AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation
Recent work by Xia et al. leveraged the continuous-limit of the classica...
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03/31/2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
We introduce a new class of attacks on machine learning models. We show ...
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10/26/2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Quantization is a popular technique that transforms the parameter repres...
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06/08/2021
Handcrafted Backdoors in Deep Neural Networks
Deep neural networks (DNNs), while accurate, are expensive to train. Man...
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10/06/2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Recent increases in the computational demands of deep neural networks (D...
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06/09/2020
On the Effectiveness of Regularization Against Membership Inference Attacks
Deep learning models often raise privacy concerns as they leak informati...
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02/26/2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
Machine learning algorithms are vulnerable to data poisoning attacks. Pr...
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02/17/2020
How to 0wn NAS in Your Spare Time
New data processing pipelines and novel network architectures increasing...
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06/03/2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Deep neural networks (DNNs) have been shown to tolerate "brain damage": ...
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02/28/2019
Poster: On the Feasibility of Training Neural Networks with Visibly Watermarked Dataset
As there are increasing needs of sharing data for machine learning, ther...
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10/08/2018