Adversarial Learning
5,204 papers
Papers per year
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Papers
Fooling Polarization-Based Vision using Locally Controllable Polarizing Projection
CVPR 2024
Fooling the Textual Fooler via Randomizing Latent Representations
ACL 2024
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation
EMNLP 2024
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
ICML 2024
Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels
EACL 2024
Friendly Attacks to Improve Channel Coding Reliability
AAAI 2024
From Coarse to Fine-Grained Open-Set Recognition
CVPR 2024
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
NAACL 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
NeurIPS 2024
Full-Distance Evasion of Pedestrian Detectors in the Physical World
NeurIPS 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
CVPR 2024
Game-Theoretic Unlearnable Example Generator
AAAI 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
ICML 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers
AAAI 2024
Generative Adversarial Model-Based Optimization via Source Critic Regularization
NeurIPS 2024
Generative Adversarial Ranking Nets
JMLR 2024
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
AAAI 2024
GenSeg: On Generating Unified Adversary for Segmentation
IJCAI 2024
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
NeurIPS 2024
GLOW: Global Layout Aware Attacks on Object Detection
CVPR 2024
Gradient Alignment for Cross-Domain Face Anti-Spoofing
CVPR 2024
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
NeurIPS 2024
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
ACL 2024
Graph Neural Network Explanations are Fragile
ICML 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
NeurIPS 2024