conftrace_

adversarial perturbation

384 papers

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Co-occurring keywords

adversarial attack (1621) adversarial robustness (1341) adversarial example (564) neural network (6616) adversarial training (1262) deep neural network (1803) adversarial learning (1595) image classification (1944) black-box attack (237) diffusion model (3751)

Papers

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective IJCAI 2025
Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL COLING 2025
SET: Spectral Enhancement for Tiny Object Detection CVPR 2025
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping ICCV 2025
Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation CVPR 2025
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models NIPS 2024
ORES: Open-Vocabulary Responsible Visual Synthesis AAAI 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024
Doubly Perturbed Task Free Continual Learning AAAI 2024
Friendly Attacks to Improve Channel Coding Reliability AAAI 2024
If You Want to Be Robust, Be Wary of Initialization NIPS 2024
Data Free Backdoor Attacks NIPS 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking NIPS 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NIPS 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations NIPS 2024
Temporal-Distributed Backdoor Attack against Video Based Action Recognition AAAI 2024
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails ACL 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning EMNLP 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NIPS 2024
On the Adversarial Robustness of Benjamini Hochberg NIPS 2024