Yiwen Guo
28 papers · 2016–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (51) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(11)
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Keyword Champion
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Keyword Pioneer
π§¬
Topic Evolution
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Dynamic Duo
(12)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(120)
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Trend Setter
β‘
Prolific Year Β· Prolific
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Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(22)
Deep Learning
(18)
Artificial Intelligence
(15)
Core AI Β· Artificial Intelligence
(14)
Learning Types Β· Machine Learning
(14)
Learning Types Β· Deep Learning
(11)
Optimization & Theory Β· Machine Learning
(9)
Application Areas
(8)
Architectures
(6)
Computer Vision
(5)
Core Methods
(5)
Optimization & Theory Β· Deep Learning
(5)
Techniques
(4)
Core AI Β· Computer Vision
(3)
Models
(3)
Keywords
adversarial example
(9)
adversarial attack
(7)
adversarial robustness
(6)
deep neural network
(6)
black-box attack
(5)
adversarial training
(4)
large language model
(3)
transfer-based attack
(2)
code representation
(2)
model compression
(2)
image classification
(2)
convolutional neural network
(2)
adversarial defense
(2)
neural network
(2)
query efficiency
(2)
network pruning
(2)
contrastive learning
(2)
vision-language model
(2)
scene understanding
(1)
logistic regression
(1)
Papers
Code Representation Pre-training with Complements from Program Executions
EMNLP 2024
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
NeurIPS 2024
The Program Testing Ability of Large Language Models for Code
EMNLP 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
EMNLP 2024
Adversarial Examples Are Not Real Features
NeurIPS 2023
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation
EMNLP 2023
CFA: Class-Wise Calibrated Fair Adversarial Training
CVPR 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
NeurIPS 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
ICLR 2023
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering
ICCV 2023
Squeeze Training for Adversarial Robustness
ICLR 2023
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
CVPR 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
NeurIPS 2023
Understanding Programs by Exploiting (Fuzzing) Test Cases
ACL 2023
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
NeurIPS 2022
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
ICLR 2021
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
NeurIPS 2021
Backpropagating Linearly Improves Transferability of Adversarial Examples
NeurIPS 2020
Practical No-box Adversarial Attacks against DNNs
NeurIPS 2020
Sparse Coding with Gated Learned ISTA
ICLR 2020
Yet Another Intermediate-Level Attack
ECCV 2020
DATA: Differentiable ArchiTecture Approximation
NeurIPS 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
NeurIPS 2019
Deep Defense: Training DNNs with Improved Adversarial Robustness
NeurIPS 2018
Sparse DNNs with Improved Adversarial Robustness
NeurIPS 2018
Network Sketching: Exploiting Binary Structure in Deep CNNs
CVPR 2017
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
CVPR 2017
Dynamic Network Surgery for Efficient DNNs
NeurIPS 2016