thu-ml / Attack-BardLinks
☆101Updated last year
Alternatives and similar repositories for Attack-Bard
Users that are interested in Attack-Bard are comparing it to the libraries listed below
Sorting:
- [NeurIPS-2023] Annual Conference on Neural Information Processing Systems☆214Updated 9 months ago
- ☆52Updated last year
- [ICLR 2024] Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images☆41Updated last year
- ☆51Updated 10 months ago
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆55Updated 8 months ago
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …☆29Updated 11 months ago
- A package that achieves 95%+ transfer attack success rate against GPT-4☆23Updated 11 months ago
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…☆57Updated 6 months ago
- A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)☆166Updated 3 months ago
- [ICLR 2024 Spotlight 🔥 ] - [ Best Paper Award SoCal NLP 2023 🏆] - Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal…☆71Updated last year
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆58Updated last year
- [AAAI'25 (Oral)] Jailbreaking Large Vision-language Models via Typographic Visual Prompts☆173Updated 3 months ago
- Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime☆50Updated 2 years ago
- Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models☆240Updated last year
- ☆63Updated 6 months ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆51Updated 2 months ago
- Accept by CVPR 2025 (highlight)☆18Updated 4 months ago
- ☆48Updated last year
- The Oyster series is a set of safety models developed in-house by Alibaba-AAIG, devoted to building a responsible AI ecosystem. | Oyster …☆44Updated last month
- Accepted by ECCV 2024☆158Updated 11 months ago
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆76Updated 8 months ago
- ☆78Updated last year
- Code for ACM MM2024 paper: White-box Multimodal Jailbreaks Against Large Vision-Language Models☆30Updated 9 months ago
- [COLM 2024] JailBreakV-28K: A comprehensive benchmark designed to evaluate the transferability of LLM jailbreak attacks to MLLMs, and fur…☆77Updated 5 months ago
- Code for NeurIPS 2024 Paper "Fight Back Against Jailbreaking via Prompt Adversarial Tuning"☆19Updated 5 months ago
- ☆38Updated last year
- [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning☆10Updated 11 months ago
- Repository for the Paper: Refusing Safe Prompts for Multi-modal Large Language Models☆18Updated 11 months ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆21Updated last year
- This is the code repository of our submission: Understanding the Dark Side of LLMs’ Intrinsic Self-Correction.☆63Updated 9 months ago