When Wyden, Feinstein's strongest adversary on privacy issues, asked whether the Federal Computer Fraud and Abuse Act applies to the C.I.A., Brennan said, "I would have to look into what that act actually calls for and its applicability to C.I.A.'s authorities.
Still, no matter how hard the regime tries to convince the world otherwise, it's clear that Iran's strongest adversary today remains within its own borders, in the form of an increasingly frustrated, determined and defiant Iranian opposition movement.
For strong adversaries, location questions had the highest confidence rating (i.e., strong adversarial users were more confident when guessing location questions compared to other six question types) followed by activity questions.
While it is far too soon to write the final chapter on the uprisings' impact, Iran has already benefited from the ouster or undermining of Arab leaders who were its strong adversaries and has begun to project its growing influence, the analysts said.
The second model represents the strong adversary which is trained using the strong adversaries' data collected from our field study for all different users excluding the corresponding legitimate user's strong adversary data.
In the first case, we assume the existence of only strong adversaries in the system (i.e., all attackers are strong adversaries).
To simulate strong adversaries, we recruited participants in pairs (e.g., close friends, significant others).
To test the system, we try three different attack scenarios (against strong adversaries, against naive adversaries, and against the community of both strong and naive adversaries) as follows.
From these figures, it can be seen that, although the performance is better when modeled against naive adversaries in Fig. 5 compared to strong adversaries in Fig. 4, the performance of threshold based scheme against strong adversaries is not impressive.
In this case, the classifier is trained on data from the legitimate user and the community of all strong adversaries excluding the corresponding legitimate user's strong adversary as shown in Fig. 2.
