Neil Zhenqiang Gong
30 papers · 2020–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Triple Crown
π₯
Mega-Team Β· Legion
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Keyword Champion
(7)
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Grand Slam
π§¬
Topic Evolution
π€
Dynamic Duo
(11)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(117)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(17)
Core AI
(17)
Learning Types Β· Machine Learning
(12)
Optimization & Theory
(8)
Deep Learning
(7)
Security & Privacy
(6)
Privacy
(6)
Application Areas
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Natural Language Processing
(3)
Resources & Methods
(3)
Computer Vision
(2)
Analysis
(2)
Keywords
adversarial robustness
(7)
adversarial perturbation
(7)
large language model
(5)
certified robustness
(5)
adversarial attack
(4)
data poisoning
(3)
multimodal large language model
(3)
randomized smoothing
(3)
backdoor attack
(3)
ensemble learning
(3)
federated learning
(3)
model poisoning attack
(2)
top-k prediction
(2)
malicious client
(2)
adversarial learning
(2)
model security
(2)
language model
(2)
prompt injection
(2)
prompt engineering
(1)
speech synthesis
(1)
Papers
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
ACL 2026
Fingerprinting LLMs via Prompt Injection
ACL 2026
Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
EACL 2026
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection
ACL 2026
SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
ACL 2026
A Transfer Attack to Image Watermarks
ICLR 2025
BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
CVPR 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
CVPR 2025
StringLLM: Understanding the String Processing Capability of Large Language Models
ICLR 2025
WebInject: Prompt Injection Attack to Web Agents
EMNLP 2025
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
NeurIPS 2024
Certifiably Robust Image Watermark
ECCV 2024
Data Poisoning based Backdoor Attacks to Contrastive Learning
CVPR 2024
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
ICLR 2024
FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error
ICML 2024
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
ICLR 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
ECCV 2024
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees
CVPR 2023
Addressing Heterogeneity in Federated Learning via Distributional Transformation
ECCV 2022
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
ICLR 2022
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
AAAI 2022
Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning
ECCV 2022
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
AAAI 2021
On the Intrinsic Differential Privacy of Bagging
IJCAI 2021
PointGuard: Provably Robust 3D Point Cloud Classification
CVPR 2021
Provably Secure Federated Learning against Malicious Clients
AAAI 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
AAAI 2021
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing
ICLR 2020