conftrace_

transfer attack

21 papers

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Co-occurring keywords

adversarial attack (1621) black-box attack (237) adversarial robustness (1341) adversarial example (564) surrogate model (181) adversarial perturbation (384) deep neural network (1803) model robustness (480) adversarial learning (1595) white-box attack (38)

Papers

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning AAAI 2026
Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak AAAI 2026
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability AAAI 2025
Jailbreaking with Universal Multi-Prompts NAACL 2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025
OSLO: One-Shot Label-Only Membership Inference Attacks NIPS 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NIPS 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023
Blurred-Dilated Method for Adversarial Attacks NIPS 2023
Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification INTERSPEECH 2022
Pre-trained Adversarial Perturbations NIPS 2022
Blackbox Attacks via Surrogate Ensemble Search NIPS 2022
Context-Aware Transfer Attacks for Object Detection AAAI 2022
Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021
Adversarial Attacks on Copyright Detection Systems ICML 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NIPS 2020
Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP 2019