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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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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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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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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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05/15/2023
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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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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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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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
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Certified defenses such as randomized smoothing have shown promise towar...
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07/29/2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
We present Tianshou, a highly modularized python library for deep reinfo...
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07/22/2021
Query2Label: A Simple Transformer Way to Multi-Label Classification
This paper presents a simple and effective approach to solving the multi...
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06/30/2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
Recent works demonstrate that deep reinforcement learning (DRL) models a...
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05/31/2021
Adversarial Training with Rectified Rejection
Adversarial training (AT) is one of the most effective strategies for pr...
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02/29/2020
