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09/21/2023
How Robust is Google's Bard to Adversarial Image Attacks?
Multimodal Large Language Models (MLLMs) that integrate text and other m...
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08/29/2023
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Continual learning aims to empower artificial intelligence (AI) with str...
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08/09/2023
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Existing model evaluation tools mainly focus on evaluating classificatio...
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08/04/2023
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Ensuring the reliability of face recognition systems against presentatio...
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07/24/2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Practical object detection application can lose its effectiveness on ima...
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07/21/2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Viewpoint invariance remains challenging for visual recognition in the 3...
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06/28/2023
Distributional Modeling for Location-Aware Adversarial Patches
Adversarial patch is one of the important forms of performing adversaria...
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06/15/2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World
Adversarial attacks in the physical world, particularly patch attacks, p...
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06/15/2023
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
While significant progress has been made on Physics-Informed Neural Netw...
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06/05/2023
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
Physics-informed Neural Networks (PINNs) have recently achieved remarkab...
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05/30/2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
The neural operator has emerged as a powerful tool in learning mappings ...
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05/25/2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Score distillation sampling (SDS) has shown great promise in text-to-3D ...
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05/24/2023
Robust Classification via a Single Diffusion Model
Recently, diffusion models have been successfully applied to improving a...
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05/23/2023
DIVA: A Dirichlet Process Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder
Generative model-based deep clustering frameworks excel in classifying c...
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05/15/2023
Using LLM-assisted Annotation for Corpus Linguistics: A Case Study of Local Grammar Analysis
Chatbots based on Large Language Models (LLMs) have shown strong capabil...
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05/13/2023
Decision-based iterative fragile watermarking for model integrity verification
Typically, foundation models are hosted on cloud servers to meet the hig...
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05/08/2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization
Deep Neural Networks (DNNs) have recently made significant progress in m...
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05/07/2023
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
With the help of conditioning mechanisms, the state-of-the-art diffusion...
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04/29/2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Meta-reinforcement learning enables artificial agents to learn from rela...
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04/25/2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Guided sampling is a vital approach for applying diffusion models in rea...
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03/31/2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Large-scale diffusion models like Stable Diffusion are powerful and find...
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03/28/2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
Face recognition is a prevailing authentication solution in numerous bio...
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03/20/2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
3D object detection is an important task in autonomous driving to percei...
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03/12/2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
This paper proposes a unified diffusion framework (dubbed UniDiffuser) t...
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03/09/2023
Reward Informed Dreamer for Task Generalization in Reinforcement Learning
A long-standing goal of reinforcement learning is that algorithms can le...
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02/28/2023
GNOT: A General Neural Operator Transformer for Operator Learning
Learning partial differential equations' (PDEs) solution operators is an...
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01/31/2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
To cope with real-world dynamics, an intelligent agent needs to incremen...
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01/29/2023
Learning Analytics from Spoken Discussion Dialogs in Flipped Classroom
The flipped classroom is a new pedagogical strategy that has been gainin...
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11/15/2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Recent advances of data-driven machine learning have revolutionized fiel...
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11/02/2022
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network
Model-based reinforcement learning usually suffers from a high sample co...
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10/25/2022
Dynamic Speech Endpoint Detection with Regression Targets
Interactive voice assistants have been widely used as input interfaces i...
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10/08/2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Recent studies have demonstrated that visual recognition models lack rob...
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10/06/2022
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
We present a unified hard-constraint framework for solving geometrically...
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09/29/2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
In offline reinforcement learning, weighted regression is a common metho...
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09/15/2022
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Deep learning based approaches like Physics-informed neural networks (PI...
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09/15/2022
On the Reuse Bias in Off-Policy Reinforcement Learning
Importance sampling (IS) is a popular technique in off-policy evaluation...
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06/12/2022
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
Embodied agents in vision navigation coupled with deep neural networks h...
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06/09/2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
Though deep reinforcement learning (DRL) has obtained substantial succes...
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06/09/2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Certified defenses such as randomized smoothing have shown promise towar...
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04/23/2022
Human-Robot Shared Control for Surgical Robot Based on Context-Aware Sim-to-Real Adaptation
Human-robot shared control, which integrates the advantages of both huma...
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03/13/2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
In high-stake scenarios like medical treatment and auto-piloting, it's r...
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03/13/2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior
Adversarial attacks have been extensively studied in recent years since ...
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03/09/2022
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition
Recent studies have revealed the vulnerability of face recognition model...
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11/21/2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Despite its great success, deep learning severely suffers from robustnes...
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10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
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10/13/2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness
The vulnerability of deep neural networks to adversarial examples has mo...
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09/30/2021
You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors
Blind spots or outright deceit can bedevil and deceive machine learning ...
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09/27/2021
Query-based Adversarial Attacks on Graph with Fake Nodes
While deep neural networks have achieved great success on the graph anal...
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09/13/2021
Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator
Adversarial examples can deceive a deep neural network (DNN) by signific...
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07/29/2021
