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08/11/2023
Continual Face Forgery Detection via Historical Distribution Preserving
Face forgery techniques have advanced rapidly and pose serious security ...
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08/08/2023
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
Fabricating and designing 3D garments has become extremely demanding wit...
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07/31/2023
Towards General Visual-Linguistic Face Forgery Detection
Deepfakes are realistic face manipulations that can pose serious threats...
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06/28/2023
The Power of Telemetry: Uncovering Software-Based Side-Channel Attacks on Apple M1/M2 Systems
Power analysis is a class of side-channel attacks, where power consumpti...
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05/29/2023
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
Camouflaged Object Detection (COD) is a challenging task in computer vis...
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05/22/2023
Gloss-Free End-to-End Sign Language Translation
In this paper, we tackle the problem of sign language translation (SLT) ...
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04/06/2023
InterFormer: Real-time Interactive Image Segmentation
Interactive image segmentation enables annotators to efficiently perform...
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03/28/2023
FineIBT: Fine-grain Control-flow Enforcement with Indirect Branch Tracking
We present the design, implementation, and evaluation of FineIBT: a CFI ...
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03/24/2023
Mathematical Challenges in Deep Learning
Deep models are dominating the artificial intelligence (AI) industry sin...
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02/20/2023
Transformed Distribution Matching for Missing Value Imputation
We study the problem of imputing missing values in a dataset, which has ...
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11/16/2022
Some Properties of the Nash Equilibrium in 2 × 2 Zero-Sum Games
In this report, some properties of the set of Nash equilibria (NEs) of 2...
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11/03/2022
Zero-Sum Games with Noisy Observations
In this paper, 2 × 2 zero-sum games (ZSGs) are studied under the followi...
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10/17/2022
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
Gaussian differential privacy (GDP) is a single-parameter family of priv...
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09/29/2022
How Does Value Distribution in Distributional Reinforcement Learning Help Optimization?
We consider the problem of learning a set of probability distributions f...
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04/04/2022
An adaptive model checking test for functional linear model
Numerous studies have been devoted to the estimation and inference probl...
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03/29/2022
Idea and Theory of Particle Access
Aiming at some problems existing in the current quality of service (QoS)...
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03/22/2022
Non-linear Embeddings in Hilbert Simplex Geometry
A key technique of machine learning and computer vision is to embed disc...
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03/08/2022
You Cannot Always Win the Race: Analyzing the LFENCE/JMP Mitigation for Branch Target Injection
LFENCE/JMP is an existing software mitigation option for Branch Target I...
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02/21/2022
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics
Modeling stochastic traffic dynamics is critical to developing self-driv...
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02/01/2022
Distributional Reinforcement Learning via Sinkhorn Iterations
Distributional reinforcement learning (RL) is a class of state-of-the-ar...
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01/31/2022
Fair Wrapping for Black-box Predictions
We introduce a new family of techniques to post-process ("wrap") a black...
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12/27/2021
Dual Contrastive Learning for General Face Forgery Detection
With various facial manipulation techniques arising, face forgery detect...
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12/22/2021
Asymptotic Learning Requirements for Stealth Attacks
Information-theoretic stealth attacks are data injection attacks that mi...
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11/03/2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness
Adversarial robustness, which mainly contains sensitivity-based robustne...
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10/17/2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Anderson mixing has been heuristically applied to reinforcement learning...
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10/07/2021
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm
Distributional reinforcement learning (RL) is a class of state-of-the-ar...
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09/21/2021
A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning
Abnormal states in deep reinforcement learning (RL) are states that are ...
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09/17/2021
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations
In real scenarios, state observations that an agent observes may contain...
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07/09/2021
On the Variance of the Fisher Information for Deep Learning
The Fisher information matrix (FIM) has been applied to the realm of dee...
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07/01/2021
Secure Quantized Training for Deep Learning
We have implemented training of neural networks in secure multi-party co...
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06/28/2021
Intent Disentanglement and Feature Self-supervision for Novel Recommendation
One key property in recommender systems is the long-tail distribution in...
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04/06/2021
Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression
In this paper, we are interested in the bottom-up paradigm of estimating...
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03/07/2021
Graph Force Learning
Features representation leverages the great power in network analysis ta...
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02/24/2021
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting
The capability of image semantic segmentation may be deteriorated due to...
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02/10/2021
Belief Space Planning for Mobile Robots with Range Sensors using iLQG
In this work, we use iterative Linear Quadratic Gaussian (iLQG) to plan ...
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11/24/2020
Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements
In this paper, we address the problem of stochastic motion planning unde...
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11/23/2020
Effectiveness of MPC-friendly Softmax Replacement
Softmax is widely used in deep learning to map some representation to a ...
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09/02/2020
A Practical Chinese Dependency Parser Based on A Large-scale Dataset
Dependency parsing is a longstanding natural language processing task, w...
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08/09/2020
Multivariate Relations Aggregation Learning in Social Networks
Multivariate relations are general in various types of networks, such as...
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07/11/2020
Feedback Enhanced Motion Planning for Autonomous Vehicles
In this work, we address the motion planning problem for autonomous vehi...
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06/28/2020
Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
The typical bottom-up human pose estimation framework includes two stage...
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06/14/2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data
The scarcity of class-labeled data is a ubiquitous bottleneck in a wide ...
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12/16/2019
Seq2seq Translation Model for Sequential Recommendation
The context information such as product category plays a critical role i...
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11/27/2019
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions
This letter introduces an abstract learning problem called the “set embe...
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11/21/2019
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy
Regularization plays a crucial role in machine learning models, especial...
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10/24/2019
A Note on Our Submission to Track 4 of iDASH 2019
iDASH is a competition soliciting implementations of cryptographic schem...
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08/20/2019
Deep High-Resolution Representation Learning for Visual Recognition
High-resolution representations are essential for position-sensitive vis...
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08/14/2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
The design of deep graph models still remains to be investigated and the...
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06/04/2019
Learning Deep Image Priors for Blind Image Denoising
Image denoising is the process of removing noise from noisy images, whic...
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06/04/2019