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08/16/2023
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing
We study provable multi-agent reinforcement learning (MARL) in the gener...
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07/22/2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Robust reinforcement learning (RL) seeks to train policies that can perf...
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05/27/2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL
Most existing works consider direct perturbations of victim's state/acti...
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04/14/2023
FairRec: Fairness Testing for Deep Recommender Systems
Deep learning-based recommender systems (DRSs) are increasingly and wide...
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03/22/2023
Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments
Reliable localization is crucial for autonomous robots to navigate effic...
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12/27/2022
A Survey on Knowledge-Enhanced Pre-trained Language Models
Natural Language Processing (NLP) has been revolutionized by the use of ...
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10/28/2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Despite of the superb performance on a wide range of tasks, pre-trained ...
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05/03/2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
Recent studies show that pre-trained language models (LMs) are vulnerabl...
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11/10/2021
On Designing a Two-stage Auction for Online Advertising
For the scalability of industrial online advertising systems, a two-stag...
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09/10/2021
Counterfactual Adversarial Learning with Representation Interpolation
Deep learning models exhibit a preference for statistical fitting over l...
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06/12/2021
Incorporating External POS Tagger for Punctuation Restoration
Punctuation restoration is an important post-processing step in automati...
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06/11/2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
In online advertising, auto-bidding has become an essential tool for adv...
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06/07/2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
In e-commerce advertising, it is crucial to jointly consider various per...
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02/23/2021
Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation
Despite that deep neural networks (DNNs) have achieved enormous success ...
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12/05/2020
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
In e-commerce advertising, the ad platform usually relies on auction mec...
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03/01/2019
ε-differential agreement: A Parallel Data Sorting Mechanism for Distributed Information Processing System
The order of the input information plays a very important role in a dist...
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05/09/2018
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening
Remote sensing image fusion (also known as pan-sharpening) aims to gener...
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03/13/2018
Invisible Mask: Practical Attacks on Face Recognition with Infrared
Accurate face recognition techniques make a series of critical applicati...
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01/05/2018
Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild
In this paper, we seek to better understand Android obfuscation and depi...
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11/07/2017