Jiongxiao Wang
13 papers · 2022–2026 · 5 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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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π Triple Crown
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(52)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(9)
Machine Learning
(8)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Models
(4)
Computer Vision
(2)
Application Areas
(2)
Natural Language Processing
(1)
Speech & Audio
(1)
Analysis
(1)
Generation
(1)
Learning Types Β· Deep Learning
(1)
Optimization & Theory
(1)
Processing
(1)
Keywords
adversarial robustness
(4)
certified robustness
(3)
diffusion model
(3)
large language model
(3)
adversarial attack
(2)
reinforcement learning
(2)
diffusion purification
(2)
randomized smoothing
(2)
in-context learning
(1)
instruction tuning
(1)
data poisoning
(1)
safety alignment
(1)
model alignment
(1)
projected gradient descent
(1)
adversarial learning
(1)
computational efficiency
(1)
image manifold
(1)
ai safety
(1)
backdoor attack
(1)
human feedback
(1)
Papers
Reinforcement Learning for Self-Improving Agent with Skill Library
ACL 2026
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
ICLR 2025
Robust Representation Consistency Model via Contrastive Denoising
ICLR 2025
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations
NAACL 2025
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
NeurIPS 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
NeurIPS 2024
Conversational Drug Editing Using Retrieval and Domain Feedback
ICLR 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
ACL 2024
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
ICML 2023
Defending against Adversarial Audio via Diffusion Model
ICLR 2023
DensePure: Understanding Diffusion Models for Adversarial Robustness
ICLR 2023
On the Exploitability of Instruction Tuning
NeurIPS 2023
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
ICML 2022