共 50 条
- [1] Black-Box Reconstruction Attacks on LLMs: A Preliminary Study in Code Summarization QUALITY OF INFORMATION AND COMMUNICATIONS TECHNOLOGY, QUATIC 2024, 2024, 2178 : 391 - 398
- [2] Data Contamination Calibration for Black-box LLMs FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 10845 - 10861
- [3] Open Sesame! Universal Black-Box Jailbreaking of Large Language Models APPLIED SCIENCES-BASEL, 2024, 14 (16):
- [4] Defending LLMs against Jailbreaking Attacks via Backtranslation FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 16031 - 16046
- [5] Simple Black-box Adversarial Attacks INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
- [7] Black-Box Data Poisoning Attacks on Crowdsourcing PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2023, 2023, : 2975 - 2983
- [9] Resiliency of SNN on Black-Box Adversarial Attacks 20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021), 2021, : 799 - 806
- [10] SoK: Pitfalls in Evaluating Black-Box Attacks IEEE CONFERENCE ON SAFE AND TRUSTWORTHY MACHINE LEARNING, SATML 2024, 2024, : 387 - 407