Yiwen Guo
28 papers · 2016–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (10)
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Cross-Pollinator
(10)
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Renaissance Researcher
(5)
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Taxonomy Completionist
(50)
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Keyword Champion
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Topic Pioneer
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(11)
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(12)
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Unstoppable
(9)
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Century Club
(28)
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Trend Setter
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Prolific Year
(10)
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Keyword Collector
(108)
Conferences
NIPS (13)
CVPR (4)
EMNLP (4)
ICLR (4)
ACL (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
adversarial example
(7)
adversarial attack
(7)
adversarial robustness
(5)
deep neural network
(5)
black-box attack
(4)
large language model
(3)
adversarial training
(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)
gradient-based optimization
(1)
k-means clustering
(1)
Papers
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
NIPS 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
EMNLP 2024
Code Representation Pre-training with Complements from Program Executions
EMNLP 2024
The Program Testing Ability of Large Language Models for Code
EMNLP 2024
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
ICLR 2023
Adversarial Examples Are Not Real Features
NIPS 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
NIPS 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
NIPS 2023
Squeeze Training for Adversarial Robustness
ICLR 2023
CFA: Class-Wise Calibrated Fair Adversarial Training
CVPR 2023
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering
ICCV 2023
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation
EMNLP 2023
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
CVPR 2023
Understanding Programs by Exploiting (Fuzzing) Test Cases
ACL 2023
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
NIPS 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
NIPS 2021
Sparse Coding with Gated Learned ISTA
ICLR 2020
Yet Another Intermediate-Level Attack
ECCV 2020
Practical No-box Adversarial Attacks against DNNs
NIPS 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples
NIPS 2020
DATA: Differentiable ArchiTecture Approximation
NIPS 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
NIPS 2019
Deep Defense: Training DNNs with Improved Adversarial Robustness
NIPS 2018
Sparse DNNs with Improved Adversarial Robustness
NIPS 2018
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
CVPR 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
CVPR 2017
Dynamic Network Surgery for Efficient DNNs
NIPS 2016