Qizhang Li
10 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI · Artificial Intelligence
(7)
Deep Learning
(6)
Machine Learning
(6)
Learning Types · Deep Learning
(5)
Learning Types · Machine Learning
(5)
Computer Vision
(3)
Analysis
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Core AI · Computer Vision
(1)
Models
(1)
Keywords
adversarial example
(6)
deep neural network
(4)
adversarial attack
(3)
black-box attack
(3)
image classification
(2)
adversarial robustness
(2)
transfer-based attack
(2)
discrete optimization
(1)
face verification
(1)
language model
(1)
large multimodal model
(1)
adversarial transferability
(1)
jailbreak attack
(1)
transferable adversarial example
(1)
model transfer
(1)
transfer attack
(1)
feature perturbation
(1)
attack success rate
(1)
adversarial vulnerability
(1)
industrial anomaly detection
(1)
Papers
Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process
ICCV 2025
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
NeurIPS 2024
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
NeurIPS 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
ICLR 2023
Squeeze Training for Adversarial Robustness
ICLR 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
NeurIPS 2023
Adversarial Contrastive Learning via Asymmetric InfoNCE
ECCV 2022
Backpropagating Linearly Improves Transferability of Adversarial Examples
NeurIPS 2020
Practical No-box Adversarial Attacks against DNNs
NeurIPS 2020
Yet Another Intermediate-Level Attack
ECCV 2020