Aishan Liu
29 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(49)
π€
Dynamic Duo
(16)
π
Grand Slam
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(109)
π₯
Unstoppable
(7)
π
Century Club
(25)
Conferences
CVPR (7)
AAAI (6)
ICLR (4)
IJCAI (4)
ECCV (2)
ICML (2)
ACL (1)
EMNLP (1)
ICCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
adversarial attack
(4)
backdoor attack
(4)
knowledge distillation
(3)
benchmark evaluation
(3)
large language model
(3)
object detection
(2)
jailbreak attack
(2)
adversarial training
(2)
few-shot learning
(2)
adversarial robustness
(2)
reinforcement learning
(2)
model security
(2)
trigger pattern
(2)
model compression
(2)
backdoor defense
(2)
adversarial learning
(2)
adversarial example
(2)
domain adaptation
(1)
domain generalization
(1)
metric learning
(1)
Papers
CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models
AAAI 2026
SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs
AAAI 2026
Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models
AAAI 2026
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
AAAI 2026
CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks
ICCV 2025
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
ACL 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
CVPR 2025
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
EMNLP 2025
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
ICLR 2025
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
ICML 2025
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
NIPS 2024
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
CVPR 2024
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
ICLR 2024
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
ICLR 2024
FAIRER: Fairness as Decision Rationale Alignment
ICML 2023
Improving Robust Fariness via Balance Adversarial Training
AAAI 2023
Fairness via Group Contribution Matching
IJCAI 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
CVPR 2023
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
CVPR 2023
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network
CVPR 2022
BiBERT: Accurate Fully Binarized BERT
ICLR 2022
Defensive Patches for Robust Recognition in the Physical World
CVPR 2022
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
CVPR 2021
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration
IJCAI 2020
Bias-based Universal Adversarial Patch Attack for Automatic Check-out
ECCV 2020
Transductive Relation-Propagation Network for Few-shot Learning
IJCAI 2020
Spatiotemporal Attacks for Embodied Agents
ECCV 2020
Perceptual-Sensitive GAN for Generating Adversarial Patches
AAAI 2019
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation
IJCAI 2019