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08/01/2023
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
The recent progress in large language models (LLMs), especially the inve...
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05/12/2023
Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links
In recent decades, due to the emerging requirements of computation accel...
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04/04/2023
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
The Electrocardiogram (ECG) measures the electrical cardiac activity gen...
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06/25/2021
InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents
We introduce a simple and effective method for learning VAEs with contro...
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07/13/2020
Generating Fluent Adversarial Examples for Natural Languages
Efficiently building an adversarial attacker for natural language proces...
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07/13/2020
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
It has been a common approach to pre-train a language model on a large c...
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07/12/2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Auto-regressive sequence generative models trained by Maximum Likelihood...
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11/01/2019
Kernelized Bayesian Softmax for Text Generation
Neural models for text generation require a softmax layer with proper to...
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06/16/2019
Fixing Gaussian Mixture VAEs for Interpretable Text Generation
Variational auto-encoder (VAE) with Gaussian priors is effective in text...
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11/14/2018
