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WEITERE EPISODEN IN DIESEM PODCAST

AI/ML in security Injecting into LLM-adjacent components Johann Rehberger [Blog 1] [Blog 2] Teams of LLM Agents can Exploit Zero-Day Vulnerabilities Richard Fang, Rohan Bindu, Akul Gupta, Qiusi Zhan, and Daniel Kang [Paper]  Project Naptime: Evaluating Offensive Security Capabilities of Large Langu…
Privacy in the modern era IPvSeeYou: Exploiting Leaked Identifiers in IPv6 for Street-Level Geolocation Erik Rye and Robert Beverly [Slides] [Paper] [Code] Device Tracking via Linux’s New TCP Source Port Selection Algorithm Moshe Kol, Amit Klein, and Yossi Gilad [Code] [Paper] zk-creds: Flexible An…
Cryptography still isn’t easy certmitm: automatic exploitation of TLS certificate validation vulnerabilities Aapo Oksman [Slides] [Code] [Video] Escaping Phishermen Nets: Cryptographic Methods Unveiled in the Fight Against Reverse Proxy Attacks Ksandros Apostoli [Blog] mTLS: When certificate authen…
LLMs ain't making life any easier Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs Tsung-Yin Hsieh, Ben Nassi, Vitaly Shmatikov, and Eugene Bagdasaryan [Slides] [Paper] [Code] Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra, Manolis Zampetaki…
Revealing more than anticipated, and preventing prying eyes PrintListener: Uncovering the Vulnerability of Fingerprint Authentication via the Finger Friction Sound Man Zhou, Shuao Su, Qian Wang, Qi Li, Yuting Zhou, Xiaojing Ma, and Zhengxiong Li [Paper] ModelGuard: Information-Theoretic Defense Aga…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Jacob Torrey, research@thinkst.com, haroon meer, marco slaviero, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.