Chengzhi Mao
24 papers · 2019–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(51)
π§¬
Topic Evolution
π€
Dynamic Duo
(16)
π
Triple Crown
π
Grand Slam
π
Century Club
(24)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(98)
π₯
Unstoppable
(7)
Conferences
ICLR (6)
CVPR (5)
ICML (3)
ACL (2)
ICCV (2)
NIPS (2)
AAAI (1)
ECCV (1)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
adversarial attack
(4)
out-of-distribution generalization
(3)
image classification
(2)
adversarial defense
(2)
multimodal learning
(2)
adversarial robustness
(2)
visual recognition
(2)
representation learning
(2)
spurious correlation
(2)
large language model
(2)
model robustness
(2)
domain generalization
(2)
object recognition
(1)
visual perception
(1)
pose estimation
(1)
image restoration
(1)
metric learning
(1)
transfer learning
(1)
visual reasoning
(1)
variational inference
(1)
Papers
EditLord: Learning Code Transformation Rules for Code Editing
ICML 2025
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
ICLR 2025
Diversity Helps Jailbreak Large Language Models
NAACL 2025
Learning to Rewrite: Generalized LLM-Generated Text Detection
ACL 2025
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
ACL 2025
Raidar: geneRative AI Detection viA Rewriting
ICLR 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
CVPR 2024
RAFT: Realistic Attacks to Fool Text Detectors
EMNLP 2024
SelfIE: Self-Interpretation of Large Language Model Embeddings
ICML 2024
INViTE: INterpret and Control Vision-Language Models with Text Explanations
ICLR 2024
Doubly Right Object Recognition: A Why Prompt for Visual Rationales
CVPR 2023
What You Can Reconstruct From a Shadow
CVPR 2023
Convolutional Visual Prompt for Robust Visual Perception
NIPS 2023
Landscape Learning for Neural Network Inversion
ICCV 2023
Understanding Zero-shot Adversarial Robustness for Large-Scale Models
ICLR 2023
Robust Perception through Equivariance
ICML 2023
Real-Time Neural Voice Camouflage
ICLR 2022
Discrete Representations Strengthen Vision Transformer Robustness
ICLR 2022
Causal Transportability for Visual Recognition
CVPR 2022
Adversarial Attacks Are Reversible With Natural Supervision
ICCV 2021
Generative Interventions for Causal Learning
CVPR 2021
Multitask Learning Strengthens Adversarial Robustness
ECCV 2020
Metric Learning for Adversarial Robustness
NIPS 2019
Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling
AAAI 2019